Patent Grant
8199653
Telephony has advanced dramatically with the advancement of technology. Telephone communication was once limited to an analog public switched telephone network (PSTN), where the PSTN has been traditionally formed of two types of telephone carriers, local and long distance. The local carriers established local networks for subscribers to communicate within local regions, and the long distance carriers created networks between the local networks to enable subscribers of different local carriers to communicate with one another.
Over time, mobile telephone networks were developed to enable subscribers to use mobile telephones. At first, the wireless networks and handsets were analog. Technology for the wireless networks was developed to provide digital wireless communications, which provided a clearer signal than analog wireless communications.
About the same time that the digital wireless networks were developing, the Internet was also developing. The International Standards Organization (ISO) developed an Open Systems Interconnection (OSI) basic reference model in 1977 that currently includes seven different layers. Each of the layers provides protocols for certain types of operations. More specifically, the seven layers include: physical layer (Layer 1), data link layer (Layer 2), network layer (Layer 3), transport layer (Layer 4), session layer (Layer 5), presentation layer (Layer 6), and application layer (Layer 7). Each entity interacts directly with the layer immediately beneath it and provides facilities for use by the layer above it. The protocols on each layer enable entities to communicate with other entities on the same layer. The Internet initially provided for simple digital data to be communicated between users. One of the early communication application included email. However, as communications standards and protocols developed, the Internet matured to include more advanced communication applications, including voice over Internet protocol (VoIP).
The SS7 network 106, which includes signal transfer points (STPs) 108a-108n (collectively 108), service switching points (SSs) on the class 4 and class 5 switches, and service control points (SCPs—not shown). The SS7 network is connected to the class 4 and 5 switches for providing and maintaining inter-switch call services between the switches. The SS7 network is used to signal out-of-band call setup, as out-of-band signaling is more secure and faster than in-band signaling. The call state changes of the inter-switch trunks of the class 4 switch are communicated to the adjoining switches via the SS7 network via a connection to the STP. To manage and route calls, the STPs 108 are used as an Inter-Switch messaging network whereby two switches control the trunking between the switches via messaging over the SS7 network provided by the STP switches that act as the inter-switch message bus. A call state machine of the class 4 switch provides control for routing traffic within the cross-connect matrix of the monolithic switch. The call state machine also provides call control signaling information to other switches via the connections to the STPs. The call control signaling information is routed via the STPs to other switches for call setup and tear-down. The call control information routed by the STPs contains pertinent information about the call to allow the terminating switch to complete various calls.
Telephony has benefited from the development of the OSI model in a vast number of ways. One way has been through separating the call controller into a distributed cross-connect on an asynchronous network, such as asynchronous transfer mode (ATM) or an Internet Protocol (IP) network.
The packet network 202 operates independently as a distributed virtual media gateway port cross-connect for voice calls primarily due to one or more call control managers (CCMs) 212 located on the packet network 202. The call control manager 212 is in communication with the media gateways 204 and operates to control the media gateways 204 and provide instructions on how to rotate the packets 210 via far-end address allocations. By separating the call controller from the class 4 switches, the packet network 202 becomes, in effect, the virtual cross-connect of the switching system. The packet network 202 enables packets 210 that include voice data, commonly known as bearer packets, to be tagged with a destination address 214a and origination address 214b for enabling content data 214c to be properly routed from the origination media gateway 204b to the destination media gateway 204a. The media gateways 204 use of the packet network 202 is controlled by the CCM 212 and may communicate the packets 210 over the packet network 202 via IP addresses and virtual circuit (VC) or virtual path (VP) between the media gateways 204 to appropriately route the packets to the correct destination network node through the packet network 202. CCM 212 receives call state processing information from the media gateways 204 and signaling points, and processes the call state changes by using look up tables (not shown). The CCM 212 thereafter communicates packet addressing and state changes to the media gateways 204 to process the call.
Ethernet protocol was developed to provide for a computer network that enables multiple computers to share a common external inter-communication bus. Ethernet is generally used to provide for local area networks (LANs). Ethernet operates by communicating frames of data. While Ethernet operates well within a local environment (e.g., within a building) because Ethernet assumes that there is an known capacity of bandwidth associated with the bus standards set forth in the IEEE 802.3 standard that defines Ethernet. Ethernet is a shared environment, where co-utilization creates transmission errors called collisions. These collisions are detected by Ethernet cards in computers and a random re-transmission timer is used to avoid the next collision. Ethernet poses special problems for use in communications systems given it lacks dedicated bandwidth and time slots. The shared nature of an Ethernet network creates additional complexities in that the amount of available bandwidth can vary when used with wireless technologies.
Communication protocols transmitted over packet networks, such as ATM or IP networks, may utilize TDM based transmission facilities, which are synchronous as compared to Ethernet transmission facilities, which are asynchronous. Synchronous transmission protocols utilize a common clock and channel schema so that each device on the network operates synchronously with a dedicated path. Two types of “connection” state knowledge are present in a dedicated system, such as a TDM. Each channel has a dedicated amount of bandwidth and an error rate that is calculated from a common clock to determine path errors. The two types of connection state awareness functionality are provided by the channel itself and the common clock and data within a TDM header. The common clock provides for a determination of (i) a communications data rate from one end-point to another end-point and (ii) the data quality. Additionally, the TDM protocol includes “far end state” data in a header of a TDM frame to indicate whether there is a connection at the far end, thereby providing an indication of continuity along the communications path. Specifically, in-band end-to-end alarming allows the cross-connect devices to receive indications of continuity problems with other end-points. The in-band alarming is also provided for connection quality, where Bit Error Rate (BER) allows each end-point to know the quality of the data being received. Furthermore, bandwidth is always in use meaning that packets are synchronous, which that the far end knows exactly how many packets are to be sent and received in a given time period (e.g., one second). Computation of utilization is easily made by using the known bandwidth and multiplying it by the “seizure” time or the amount of time in use.
Packet-based communications sessions lack circuit based connection state awareness indicators and clocking functionality to provide a session controller the ability to know the path connectivity state to efficiently manage making call handling decisions with anything other than ample bandwidth to setup and use sessions. This lack of connection path state awareness with the communications protocols, such as Ethernet and Internet protocol (IP) technologies, result in “gaps” in terms of being able to react to decaying transmission path quality and be sensitive to shared use of bandwidth. Most IP call controller solutions are founded on enterprise applications, where a single entity owns the network and scale of the network is relatively small. IP and Ethernet protocols lack the in-band path signaling, quality and use metrics to allow for this scale, or the ability to perform enhanced call handling with paths outside the governance of the packet network. Because packet communications are asynchronous, there is no common clock, and, thus, there is no way to know how many packets were transmitted, which, in turn, removes the ability to characterize transmission quality of the entire path, the amount of bandwidth available, or the amount in use. Further, packet networks are “converged” meaning they have both real-time and non-real-time bandwidth use. Currently, there is no in-band mechanism for determining real-time and non-real-time bandwidth use; having such information would allow for handling calls. It is commonly understood that proper connection operational assumptions are made by call control engines when the SS7 signaling path is properly operating (e.g., provisioned bandwidth is available) between end-points within the SS7 network. These operational assumptions are problematic as Ethernet, IP, and other data networks become oversubscribed and cause the packet network to become congested and prevent throughput. In cases where an end-point, such as a WiFi telephone, is mobile and bandwidth changes with signal strength (e.g., a WiFi telephone losing bandwidth as an individual walks away from a connection point antenna), the connection operation assumptions also fail to provide graceful call handling.
One available technique in packet networks to prevent oversubscription of real-time media traffic is through the use of call admission control (CAC) or the IP equivalent known as Resource Reservation Protocol (RSVP). CAC is primarily used to prevent congestion in voice traffic and is applied in the call setup phase to ensure there is enough bandwidth for data flow by reserving resources. To reserve bandwidth through the entire packet network, a CAC requires that the CAC procedure be performed at each point along a virtual circuit between two media gateways on which a call is to be routed, and often in a bi-directional fashion. While CAC functionality exists, the use of such CAC functionality is almost never applied because of the amount of time needed by the CAC procedure during call set up. For example, currently, CAC typically cannot operate over 40 calls per second and typical call set-ups on media gateways or class 4 switches may be 200 calls per second or higher.
One technique used to monitor the performance of IP session performance (i.e., after a call session has been established) is the use of the real-time control protocol (RTCP) as defined in IETF RFC 3550. RTCP collects statistics on a media connection, including bytes sent, packets sent, lost packets, jitter, feedback, and round trip delay. Other information may be provided in the RTCP packet using profile specific extensions. RTCP, which operates on a per session basis, is used for quality of service (QoS) reporting after termination of a session. The statistics information may be used, for example, to improve the quality of service by limiting data flow or changing CODEC compression. Utilization of the real-time QoS statistics, however, is limited to the specific session associated with the RTCP stream.
An emerging standard that is being developed for Ethernet performance measures is 802.1AG. This standard operates by generating and communicating an 802.1AG packet or “heart beat” over an Ethernet network segment. The 802.1AG packets are communicated via a Layer 2 Ethernet Virtual Circuit, such as a VLAN or Ethernet tunnel. At the ends and mid-points in Ethernet tunnels, 802.1AG packets are transmitted periodically over the Ethernet network to the far end. The Y.1731 protocol is utilized to calculate the number of data frames communicated between the 802.1AG packets. This configuration enables a performance measures (PM) to compute certain information about the performance of the path between the end-points on an Ethernet network. This combination of 802.1AG and Y.1731 enables the end points to be knowledgeable about the Frame Loss Rate (FLR), packet delay, and jitter in the path. This configuration is helpful to assist in monitoring performance of an Ethernet network path and diagnosing connectivity faults. However, the configuration falls short of providing the amount of real-time bandwidth in use or the total bandwidth in use. This information is useful to the proper management by a session controller handling calls during periods of flux in the packet transmission path, or the management of the real-time traffic.
Service providers often have trouble isolating and diagnosing network problems. To attempt to locate a packet loss problem along a node segment (i.e., a path between two network communications devices) over a network a probe that may be used to trace data packets being communicated over the node segment. This probe, however, is typically an external device from the network communications devices and operates to run a trace over an instant of time to determine network performance information, such as packet loss, jitter, and delay. An operator using the external probe may view results of a trace to diagnose the network communications problem. These results are not accessible to the network communications devices and cannot be accessed by network communications devices to alter network communications.
Telecommunications switching systems today provide for Internet protocol (IP) communications between two end-points within a network or a different network to be terminated to a far end-point. Calls between two end-points are routed to the terminating end-point based on the address input at the originator. This address information is then relayed to a Call Control Manger (CCM) that screens, translates, and routes the call to the terminating subscriber or to another network to be terminated at a far end subscriber's end-point. The basic functionality of this process is widely known within the art and is used throughout telecommunications networks for voice calling.
Within the architecture of this switching system, calls to and from end-points are controlled by the CCM. The CCM may be located within a monolithic device in a TDM switch architecture or provided by an outboard computing device that controls the calls by using signaling that controls network based routing and switching devices located within the network. The latter device is known as soft-switch architecture.
The soft-switch architecture within an IP network controls call processing through use of signaling to and from the end devices and media gateways. One example of a protocol used for this IP signaling is Session Initiation Protocol (SIP). This protocol is currently used mainly with IP telephony, such as VoIP, and can be used as an access protocol between the end-user and the CCM and/or between the CCM of one network and the CCM of another network.
Another protocol used mainly between the CCM and a media gateway is the ITU-T H.248 protocol, commonly known as Megaco. This protocol is a control protocol that allows the CCM to control ingress and egress from/to the media gateway as calls are set up using a media gateway. Within a packet network framework, IP communications between two end-points (both access end-points and media gateways) are controlled by the signaling of the end-point to/from the CCM. The CCM provides authentication, screening, translations and routing based on information that is stored in the CCM and from the state of the end-points that the CCM controls.
Within the soft-switch architecture, call control can only be accomplished based on information possessed by the CCM or the on/off state of the devices that has an association with the CCM. While this configuration is fine in a static environment, packet networks are in a state of change at all times since the network itself can carry different types of information besides voice calls. One skilled in the art knows that a packet network is a converged network that can carry voice, data, and video all in a single path, and routing of calls within a packet network is not static and can vary significantly from call to call.
Because of packet network content communications variables, calls may encounter congestion and loss of voice quality based on latency, jitter, and packet loss. These content communications variables can affect any portion of a call at anytime based on the network elements usage at the time of the call. Unlike a TDM system where dedicated channels and circuits are provided, the CCM only has control of it own end-points. Other end units may attempt calls, computers may send/receive data without talking to the CCM, and other devices may require bandwidth while the original call is progressing, thus causing voice quality problems for the participants. In addition to these basic gaps, many physical layer 1 systems that are poor in regulating bandwidth, are being used for transmission facilities. WiFi, EVDO, 4G (WiMax), DSL, and cable systems are all physical layer 1 technologies that demonstrate different bandwidth rates and management of their ability to modify available bandwidth as the Signal-to-Noise (SNR) ratios change.
Conventional soft-switching has not been designed to provide relief for callers when congestion, jitter or delay problems, such as those described above, are encountered. Since conventional CCMs can only determine call success based on connectivity to and from the calling parties, voice quality between two parties is not taken into consideration for call success.
Communication problems of in-band signals over packet networks are difficult to isolate. Currently, if a communication problem exists over a transmission path, there are few techniques to isolate the problem. One technique includes using an external probe to capture and decode packets, commonly know as a trace, traversing over a communications path to help isolate the problem. However, technicians generally only run the trace in response to a customer notifying a communications carrier of a communications problem. If a problem exists across packet networks operated by different carriers, a typical response by a carrier is to contact the other to determine if the other carrier can locate a problem in its network. In other words, locating an in-band communications problem over one or more packet networks is difficult as troubleshooting tools for such problems are limited to out-of-band performance metrics (PM) and are not available as in-band information via control or signaling paths.
A problem that exists with current implementations of telephony over packet networks is that a call control manager does not have information about the bearer path. Traditionally, there was a linkage between transmission path state and the monolithic switch that essentially owned one end of that path where the in-band signaling and line characteristics were available and was an integral part of the information used by the CCM for call processing. As demonstrated in current implementations of VoIP, without knowledge of the bearer path, the call control manager may establish calls that result in poor voice quality or call setup failure.
In addition, IP Service gateways, such as a broadband remote access server (BRAS), functions to limit, commonly known as traffic rate shaping, each customer's DSL traffic to their purchased speed. There is no end-to-end signaling, outside of the embedded TCP flow control mechanism, used to adjust the bursting to eliminate packet loss. Rate shaping is a statically forced bandwidth constraint that alters the nature of a transmission path in the packet networks. This shaping coupled with commonly shared or “over-subscribed” bandwidth normally associated with trunking facilities between networks results in unknown transmission path states between media gateways servicing VoIP and other real-time services, such as Video on Demand (VOD).
Traffic Quality of Service (QoS) management of packets is performed, where multiple flows aggregate into a smaller flows or channels. The application of Internet Protocol QoS is performed at the egress point where traffic is transmitted over a single link. Current traffic engines use the following information to make QOS traffic decisions. The decisions are assigning a Class of Service (CoS) and then acting upon that service to shape, restrict, or pass traffic to an egress point. The variables used to assign priority to traffic flows can be based on: entrance port (assign a whole port a CoS), virtual circuit in a port (assign a CoS to an Ethernet Virtual Circuit, LSP, etc.), priority bit marking of each packet (P bit), protocol type (assigning a CoS to specific types of packets or traffic), IP address and port (assigning a CoS to a whole IP address, or its port addresses), session identification (a HTTP, UDP, or other session addressed call), or otherwise. This priority marking information is used by service points, and shared links to implement QoS for the shared traffic flows. QoS and CoS types of information are made available at the point of aggregation where traffic management or QoS functions occur. However, the number of packets transmitted or lost in the packet stream elsewhere in the network is currently unavailable without the use of a session or path based protocol. These packet loss functions are generally not tracked by QoS mechanisms.
In current traffic rate shaping designs, the Internet may burst a packet stream to a DSL user when the packet network or Digital Subscriber Line Access Multiplexer (DSLAM) itself may not have sufficient bandwidth to accommodate the packet session. In a TCP-based session, the transmission rate is throttled down after packet loss is detected in the session. In VoIP, the packet loss is not counted by the use of Real Time Control Protocol (RTCP) signaling, but it is captured as the call progresses by the end points. RTCP, however, only considers performance of its own sessions and not the transmission path performance as a whole. In both cases, packets are sent over the packet network that get dropped in mid-path and will not make it to the customer premises equipment (CPE) and user. More importantly, there is no cross-session information about the packet loss and no whole path information available in-band.
Also, packet loss can be due to available bandwidth transmission rate fall-off, such as when a WiFi user walks away from a WiFi Access Point (AP) and loses RF signal strength, signal-to-noise ratio increases, or congestion increases due to many users concurrently accessing the AP. All of these types of conditions in the transmission paths can have severe impacts upon the ability to accomplish call processing and call management.
An Internet Service Provider (ISP) may provide different Internet connectivity speeds or data transfer rates based upon their service plans. For example, a user may purchase 1.5 Mbits/sec data transfer rate for a predetermined amount, such as 10 Mbits/sec data transfer rate or higher. In general, the transmission path is between the shared (trunked) BRAS resource and the DSLAM that is supplying. The normal amount of bandwidth consumption in the download direction from the network to the user is high as compared to the upstream direction. However, there is no correlated throttling mechanism in the IP web-server linked to user's ISP service plan that can be used to shape the packet transmissions. So, all of the network traffic is shaped at the BRAS typically based on the user's purchased data transfer rates. Depending upon network conditions, some of this traffic may not make it to the DSL user since the BRAS has no knowledge of the IP service path from itself to the customer.
A problem occurs when the BRAS does realize congestion on a packet network where packets are being dropped due to insufficient bandwidth. Some packets could be dropped in the packet network or at an aggregation device somewhere in the packet network. Currently, there is little intelligence that recognizes the dropped packets in the packet network. In fact, packet networks are designed to discard traffic based on QoS markings. This problem is made worse because transporting packets that will ultimately be dropped adds to congesting the network. The packets consume bandwidth until dropped.
Transmission Control Protocol (TCP) was designed to work in a best-effort, packet store-and-forward environment characterized by the possibility of packet loss, packet disordering, and packet duplication. Packet loss can occur, for example, by a congested network element discarding a packet. Here, a microprocessor or memory of a network element may not have adequate capacity to address all packets routing into and out of the element. Packet disordering can occur, for example, by routing changes occurring during a transmission. Here, packets of TCP connection may be being arbitrarily transmitted partially over a low bandwidth terrestrial path and as routing table changes occur partially over a high bandwidth satellite path. Packet duplication can occur, for example, when two directly-connected network elements use a reliable link protocol and the link goes down after the receiver correctly receives a packet but before the transmitter receives an acknowledgement for the packet.
An embedded capability within TCP protocol is the TCP sliding window technique. The sliding window was developed and deployed as a flow control mechanism used to minimize the inefficiencies of packet-by-packet transmission. The sending of data between TCP enabled end-devices on a connection is accomplished using the sliding window technique. TCP requires that all transmitted data be acknowledged by the receiving host. The sliding windows method is a process by which multiple packets of data can be affirmed with a single acknowledgement.
To overcome the problem of having limited tools for isolating in-band communications problems over packet networks, the principles of the present invention provide for generating network performance information by network communications devices on a packet network and communicating the network performance information in a data packet through a communications path to isolate the network device that generated the network performance information that indicates a communications problem exists. In one embodiment, the network performance information is appended by network communications devices from end-to-end in the communications path into a data packet. The data packet may be a PIP data packet, such as a connectivity fault management data packet (e.g., IEEE 802.1AG data packet), communicated in-band between the network communications devices. An inspection of the network performance information contained in the data packet may be performed to isolate the network communications device that generated the network performance information that indicates a problem exists. Each network communications device may include an identifier that identifies the network performance information generated at the respective network communications device.
One embodiment of a system for communicating network performance information of a node segment of a packet network may include an input/output (I/O) unit configured to communicate with a packet network with at least one network communications device, and a processing unit in communication with said I/O unit. The processing unit may be configured to generate network performance information indicative of transmission characteristics of a node segment on the packet network. The processing unit may further be configured to include the network performance information in a data packet and communicate the data packet using in-band signaling to a network communications device. The processing unit may further make decisions based upon the performance information and send control and signaling commands to the packet network nodes to change the network behavior.
One embodiment of a process for communicating network performance information of a node segment of a packet network may include generating network performance information indicative of transmission characteristics of a node segment on a packet network. The network performance information may be included in a data packet and communicated using in-band signaling to a network communications device. Nodes storing the network performance information that also serve as IP Service points for wireline or wireless customers, such as wireless base stations, base station controllers, DSLAM units, or cable head units, can track access line performance of subscriber units and store the information to be retrieved by a call control manager.
Another embodiment of a process for identifying communication problems within one or more packet networks may include generating network performance information at network communications devices in communication with one or more packet networks. At a first network communications device, a first data packet including first network performance information generated at the first network communications device may be generated. The first data packet including the first network performance information from the first network communications device may be communicated to a second network communications device. At the second network communications device, a second data packet including the first network performance information received from the first network communications device and second network performance information generated at the second network communications device may be generated. The second data packet including the first and second network performance information may be communicated from the second network communications device to a third network communications device.
Illustrative embodiments of the present invention are described in detail below with reference to the attached drawing figures, which are incorporated by reference herein and wherein:
a-42c illustrate a Graphical User Interface (GUI) according to an embodiment of the present invention;
A PIP packet may be communicated between the nodes of a network to establish windows of time in which a node collects or determines network performance information, which may be any information that describes packet utilization and performance of a node, node segment, transmission path, or network element. More particularly, a PIP packet may have a timestamp, counter, sequence number or other identifiers to enable the use of the PIP packet by a network node to establish a sampling window of time for collecting or determining such network performance information. Alternatively, a PIP packet may not include such identifier and may instead be generated at regular intervals between nodes of the network. Each network node or path transmission point may transmit PIP packets to a far-end element via the packet transmission path and the far-end element may receive, calculate performance and store the information for use as a utilization and performance measurement or network performance information. Given each communication path may contain information from its transmission to receive paths, the end-points may exchange and track the measures of the bi-directional path via relaying those measures at either given intervals or any other mechanism so that at least one end of the communication path has both the transmit and receive path utilization and performance measurements. The PIP packet may provide a “heartbeat” between network nodes by which the network nodes may use to determine the network performance. A PIP packet may also be used to communicate the collected or determined network performance information between nodes of the network by, for example, including the network performance information in the header or payload portion of the PIP packet. In one embodiment, a PIP packet is an Ethernet Connectivity Fault Management (CFM) packet, such as an 802.1AG packet, and a receiving utilization and performance tracking mechanism may be a ITU Y.1731 protocol stack. However, any packet of data may be utilized under any suitable protocol, as well as calculation methodology to track and store the network performance information.
The PIP packets 302 may be formatted to include any information capable of providing information to network nodes to determine network performance information, where the network performance information may include transmission rate, transmission quality, and/or transmission connectivity. Other network performance information, such as communication path utilization, may additionally be determined.
The PIP data packets 302 provide a “heartbeat” to enable the network nodes 304 at the far-end (i.e., receiving end) to generate network performance information. The PIP data packets 302 may be communicated every TPIP seconds, where TPIP may be less than, equal to, or higher than one second and include a timestamp of the time of communication and a counter value indicating the number of packets previously sent to enable a receiving network node to determine whether any data packets were lost between successive PIP data packets. Transmission rate is an indication of the number of data packets communicated over a time period and can be determined by counting data packets communicated over a network segment during a time period, for example. The PIP data packets may be used in determining a time period over which to measure the transmission rate. Transmission quality is a measure of link state and may include various link state parameters, including packet loss, jitter, and delay, for example. In one embodiment, the PIP data packets 302 may be communicated over Layer 2 of the OSI model and the network performance information may be determined in Layer 2. The network nodes 304 may include transmission performance collection units 306a, 306b, and 306c (collectively 306), respectively, to generate and collect network performance information. Transmission connectivity is an indication of communications between two devices on a network. The connectivity may be indicative of signal strength of communications between the devices, an on/off indication of a device being off or otherwise incapable of communicating, or other suitable performance measures. The transmission performance units 306 may generate network performance information in association with the PIP data packets 302.
Network performance information may also include information associated with non-packet networks, such as cable DOCSIS, wireless CDMA, TDMA, WiMax, or circuit based networks. Without limiting the foregoing, network performance information may include any data that is associated with any wired or wireless network that may be indicative of or otherwise suitable for use in determining the operation or general health of the network. Network performance information may also include information that is not associated with the communication of data between network elements along connection paths, but is instead associated with the performance of network devices themselves located at a particular node of the network. For example, network performance information may indicate buffer utilization levels, buffer overflows, errors experienced in caching or queuing data, latency introduced by a lack of processing, packet loss across a switching fabric of a particular network device such as a switch and router, or any other performance issue associated with a particular network device. It should be understood that different network types and different connection paths may have different indicia of network performance issues. For example, a T1 line may not have data associated with packet loss, jitter, or latency but may instead only present alarms of red, yellow, or green associated with the perceived performance along a T1 connection path. Similarly, there may be a large amount of data associated with wireless networks that are indicative of network performance such as signal to noise ratio, levels of interference, signal strength, or any other suitable data regarding the performance of the wireless network that may be useful and utilized as network performance information.
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Determining bandwidth usage, both real-time and total bandwidth usage, can be accomplished by tracking either individual data packets and packet flows or internal network element traffic statistics. Collecting the amount of real-time or total bandwidth usage may be performed in a number of ways, including examining a priority bit marking (‘P’ bit), type of service (TOS) bit marking, virtual local area network Class of Service (COS) marking, IP address and/or port. Additionally, probes, queuing, scheduler, bus, or path metrics may also be used with any other information associated with a data packet that is capable of indicating whether one or more data packets are real-time or non-real-time may be used in collecting real-time and non-real-time bandwidth usage. For example, accessing other in-use protocol stacks via probes or “cross stack” communication can provide information from real-time control protocols, such as Real Time Protocol (RTP) and Real Time Control Protocol (RTCP). Real-time protocol packets may be used to identify real-time bandwidth rate of communication sessions data packets. By determining bandwidth of real-time and total data packets, and optionally other PIP information, a call control manager 310 may manage network communications sessions in a more intelligent manner. Determining transmission rates may be performed at Layer 1 or Layer 2 of the OSI model. However, it should be understood that determining the network performance information may be performed on a different layer if information is available on the different layers to provide enough information to determine bandwidth utilization of real-time and total data packets being communicated over a node segment. These segments may be a shared path resource as in a media gateway to media gateway path, pin-hole firewall access node path, or they could be to a single subscriber end-point or intermediate trunking point. It is understood that multiple communications devices share the same transmission path and no single session controller may have knowledge of the in-use real-time data packet counts or bandwidth state without this information being derived from the use of PIP packets.
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In one embodiment, the memory 506 may store network performance information in bins over a short period of time, such as seconds or minutes, and the storage unit 510 may store historical network performance information for longer periods of time, such as hours, days, weeks, or longer periods of time. By storing recent network performance information, remote network nodes (e.g., call control manager, and resource allocation systems and software) may poll the network node 500 for the network performance information and receive the network performance information in a relatively short period of time as compared to the network node 500 having to access the network performance information from the storage unit 510. Periodic updates may be retrieved via polling, event driven on a regular time basis or during unit initiation or power off, or trigger driven events may also be utilized to transmit the network performance information. The network performance information may include network performance information indicative of data packets including real-time and non-real-time content. TABLE I is an exemplary table that describes an example of network performance information as associated with real-time and non-real-time data packets. Although not illustrated, such data may be identified for communication in each direction over a particular node segment.
Although the time period is shown as 1 second, it should be understood that any time period may be utilized to collect the network performance information. Multiple tables or bins may be used to tabulate different time periods, such as 15 minute, 1 hour, 1 day, and so forth, may be managed for storing the same, different, or additional network performance information and, optionally, over different periods of time. In one embodiment, historical network performance information may be stored in a database to enable a call control manager the ability to predict usage of the network node 500 during an upcoming time period (e.g., next 5 second, next 2 minutes, next day, etc.). For example, if the network node is over-subscribed with users who perform real-time data downloads during the 7 pm-9 pm timeframe, then the call control manager may utilize that information to route certain calls to other network nodes that have less utilization during that timeframe. In another example, real-time and non-real-time files may be stored on a Video On Demand (VOD) server, in which case actual real-time use information could be used to load balance system requests. Many other call and network control functions may be employed by knowing the real-time and total data packet network performance information. Other statistical analysis uses of this data are possible. Another near real-time use is a graphical presentation of this data in Operator Network Management Systems (NMS).
The PIP data packets that are communicated present an opportunity for network performance information to be communicated along a network path. In one embodiment, network performance information may be collected and appended to or otherwise inserted into PIP data packets so that other network nodes can monitor performance along a virtual path. For example, the network performance information may be collected by a network node, stored in a database, and a summary may be appended with a PIP data packet and communicated to another network node to which the PIP data packet is communicated. This concatenation process may be performed at regular intervals such as every 5 minutes, hourly, or daily, to minimize the amount of data communicated over the data packet network and stored at network nodes. The CCM 714 may collect and store historical network performance information and utilize such information to monitor trends in the network 700a and automatically alter network operation or enable network operators to reconfigure the network. For example, if it is determined that the paths to a network node or the network node itself is not operating properly, the CCM 714 may choose or establish a virtual path through different network nodes or different paths through the same node than would otherwise not have been established. As another example, if data packets are being lost, the CCM may choose to force existing and new call sessions to use CODECs of a lower compression rate on the node segment to alleviate congestion and improve call connectivity.
A call control module 816 connected between the network packet port 802 and a plain old telephone system (POTS) port 818 on a line side of the network communications device 800 may operate to control and manage call connections for a network communications device 800. The call control module 816 may include one or more CODECs using real-time transport protocol (RTP) and/or real time control protocol (RTCP). The network-side counter functions 814 may be in communication with the call control module 816 and generate packet count and bandwidth information based on the data packets being handled by the call control module 816. As understood in the art, CODEC stacks may be any session control protocol based or operate in-band, such as Internet Group Management Protocol (IMGP) for video multicasting, and may have knowledge of the type of call being set-up. Such a configuration also applies to pin-hole firewalls, media gateways, call controllers, and bandwidth reservation protocol systems that use control stacks, bandwidth reservation or resource reservation functionality. It is understood that a network-side counter function may also contain a pseudo utilization counter that indicates bandwidth reservation use information to be passed along with real bandwidth utilization performance and utilization information. The pseudo or reserved use provides an indication of bandwidth use for calls that are being setup, on hold, or simply being reserved. The reservation information may be used in providing the session controllers with the information collected or determined at the network segment. The CODEC stacks and real-time protocols can be used to track correlated per session bandwidth use and report total use to the network side counter function. A few example techniques for counting data packets and determining bandwidth of data packets including real-time data packets and total data packets are provided below:
Additionally, any network EMS or protocol stack provisioning engine may communicate with the counters 814 and 826 so as to monitor call shaping at the network communications device 800. Real-time performance engines and probes may also communicate with control stacks. Client interacting control stacks may enable a user to select functions to perform in user devices. In summary, these applications may be used on (i) virtual, logical, and physical ports, (ii) firewalls, (iii) traffic shaping instances, (iv) service agents, (v) network elements, and element schedulers, (vi) and/or service points, such as gateways, VOD servers, and conference bridges for example.
The network communications device 800 may further include one or more line-side packet ports 820a-820n (collectively 820) that are configured to communicate data packets. The line-side packet ports 820 may include respective remote monitors (RMONs) 822a-822n (collectively 822), PIP generators, and performance collection elements (not shown), that are used for exchanging network monitoring data with other network devices and counters 824a-824n (collectively 824). Similar to the network side, the line-side may include a set of line-side counter functions 826 that count packets and determine bandwidth of data packets containing real-time content and total data packets. A call control module, CODEC stack, probe/sniffer interface 828 may be connected to a network-side port and line-side port. The call control module probe 828 may be in communication with both the network-side counter functions 814 and line-side counter functions 826 to count data packets and determine bandwidth of data packets being communicated between a network-side port and line-side port.
A management function 1016 may be in communication with the statistics engine 1014 and include a number of management functions, including, but not limited to, resource reservation protocol (RSVP), call admission control (CAC), and provisioning. Session controllers 1018, which may be external from the access node 1000, may be a resource access control system or facility (RACS or RACF) that operates as a security system and provides access control and auditing functionality. The session controllers 1018 may communicate with the management function 1016 to monitor operation of the access node 1000 by collecting the statistics generated by the statistics engine 1014.
The CODEC stack module 1104 may include real-time counters and be influenced by operation of the CODEC Real-time data packet counters may count when the CODEC stack is (a) in use and/or (b) reserved or (c) other. Counters may also track IGMP use for video to count (a) number of real-time streams and/or (b) individual stream use, where the bandwidth may vary. Further, traffic shaping by a provisioning engine may be factored by the CODEC stack module. Real-time performance engines that interwork with control stacks may also affect how the count of the CODEC stack module operates to collect network performance information. Client interacting control stacks that allow the user to choose functions to control specific applications may be tracked.
The statistics module 1106 may operate to collect statistics or performance information of data packets including real-time content (e.g., VoIP data stream) and total data packets communicated to and from the network communications device. In one embodiment, the statistics module 1106 is a modified Y.1731 application. The statistics module 1106 may operate to collect (1) transmitted statistics, (2) received statistics, and (3) individual counters for each port, line, or entity. The statistics module may perform mathematical calculation on the collected information. The transmitted statistics may determine, for example: (a) total bandwidth based on all the data packets that are communicated over a time period, where the time period may be determined from PIP data packets generated by the network communications device, (b) bandwidth of the real-time data packets communicated during the time period, (c) real-time data packets counted, and (d) other collected or processed information. The received data packet statistics may include the same as the transmitted statistics, including (a) total bandwidth of all the data packets counted, (b) real-time bandwidth of the real-time data packets, and (c) real-time data packets counted, and/or (d) other collected or processed information. It should be understood that other statistics, including average values, maximum values, trended prediction values, or other suitable measurements or calculations that could be beneficial to other network communications devices or soft-switches (e.g., call control manager) may be collected.
The modified OAM module may include any of the following functions: (1) sequence counting to ensure that data packets are being received in the proper sequence, (2) appending a sequence flag to 802.1AG packets, (3) adding a name for a circuit leg or segment, (4) including indicia in data packets to identify a carrier collecting network performance information, and (5) communicating collected transmission performance statistics. The communication of the collected network performance statistics may be performed in response to a poll from another network device (e.g., call control manager), in response to an event, or periodically. Such communication may be accomplished by communicating the network performance information or statistics by appending or otherwise including the information with other data packets. For example, the network performance information may be added to payloads of data packets that are being communicated to other network nodes.
Distributed Transmission Performance Tables in Network Nodes
In one embodiment, the PIP data packets 1314b may include network performance information of respective network communications devices 1318 describing transmission performance over respective node segments 1316. In addition, each of the network communications devices 1318 may store the network performance information describing the node segments to which each is in communication (e.g., network node 1300). The network performance information may be communicated to the network node 1300 in each PIP data packet 1314b, periodically (e.g., every 100th PIP data packet, once per second, every 5 minutes, etc.), in response to an event (e.g., in response to a network performance information value crossing a threshold value), or in response to a poll or request from the network node 1300, for example. The quantity and types of performance information contained in each PIP packet could vary between successive communications. For example, derived or summarized information may be communicated on five minute intervals, and other information may be communicated in other intervals.
As previously described, the software 1304 may be configured to generate network performance information associated with node segments between network nodes. The table 1308 may include network performance information associated with the network node 1300 and network nodes 1318 with which the network node 1300 communicates. Although the table is shown to be stored in memory 1308, it should be understood that the table 1308 may be stored in storage unit 1312 in that the memory and storage unit, for the purposes of the principles of the present invention, are both considered to be memory. It should further be understood that the term table 1308 is generally descriptive of data stored in a defined arrangement of fields and is descriptive of any organized data set, such as a database or data file containing data fields. The term table is also inclusive of multiple tables that are associated with one another.
TABLE II provides an exemplary table including network performance information. The table may include segment numbers or other alpha-numeric indicia, name of associated segment, and network performance information in one or both directions for each network segment or path (e.g., east-to-west, west-to-east). The network performance information may include additional and/or other information representative of transmission characteristics (e.g., transmission rate and bandwidth) along each bearer path. Although not shown, the network performance information associated with data packets including real-time and non-real-time content (see, for example, TABLE IV). TABLE II may also include node segments associated with the internal performance of a network node or network device. For example, if a particular network node is a network switch, the operation of such network switch may impact network performance and thereby may have its own network performance information. For example, a network node, such as a switch or router, may itself cause packet loss or introduce a delay in the delivery of packets. Thus, identifying particular elements or processes within a network node may be useful in monitoring, reporting, compensating for, troubleshooting, or otherwise reacting to problems in network performance. More particularly as illustrated in TABLE II, specific buffers or queues may be identified such as buffer/queue A corresponding to segment number 5. For example, a particular buffer within a network device may overflow resulting in lost data packets at that node and correspondingly an underflow event at a downstream device. Similarly, a particular processor B within a network device is illustrated in TABLE II as being associated with segment number 6. For example, a processor may not be able to keep up with processes required to switch or route packets over a particular network. In fact, many entities are experiencing problems with processor performance as networks become more utilized. Likewise, the internal switching fabric of a particular network device such as a switch or router may also impact network performance as data packets are required to be switched or routed by such device. Such a fabric is illustrated in TABLE II as being associated with segment 7. For example, both packet loss and delay can be introduced by the performance of a switch.
Although not illustrated herein, other software, processes, processors, memory components, or any other component of a particular network node or device that may impact network performance may be included in a table, such as TABLE II, based on data associated with the performance of such components. Likewise, although not illustrated in TABLE II, many other types of network performance information may be included relative to any particular node segment. For example, a wireless switch on a wireless network may have upwards of twenty or thirty factors that influence network performance. For example, interference, signal-to-noise ratio, signal strength, and battery or power level may all affect network performance and may all be represented in a table such as the one illustrated in TABLE II. Likewise, switches, hubs, bridges, or other interfaces between networks, portions of a network, or various media of communications may instead or additionally store information such as alarms, notifications, signal characteristics, or any other suitable type of data capable of being used to evaluate network performance. For example, with regard to a simple T1 connection, the only information available regarding such connection may be the existence of a red, yellow, or green indication or alarm. Likewise, a DSLAM device may have very different information relevant to network performance than the information available from a core IP router. All of the foregoing information is considered network performance information for purposes of this application and may be incorporated in any table, bin, database, or PIP packet described herein.
TABLE III is another exemplary network segment status table that includes counter and timestamp. The counter and timestamp may be used to determine the network performance information. For example, the receiving node (e.g., node 1318a) may use the counter to determine the total number of data packets that were communicated over the node segment or network segment. If, for example, the counter indicates that 200 data packets were communicated since the previous PIP data packet, then the receiving node may determine how many data packets were received to determine if any data packets were lost. For example, if the counter indicates that 200 data packets were communicated and the receiving node determines that 182 data packets were received, then 18 data packets were lost. Also, the delay may be determined by recording the time that the PIP data packet is received and subtracting it from the PIP data packet timestamp.
The network performance information shown in TABLES II and III are representative of PIP data packets associated with unidentified content type. However, in accordance with the principles of the present invention, the network performance information may be determined with respect to communications of data packets including real-time content and non-real-time content. TABLE IV includes network performance information that distinguishes real-time content and total content (i.e., real-time and non-real-time). Although the direction is shown as going east in both of TABLES III and IV, it should be understood that west direction network performance information may also be included in the table. By providing network performance information specifically related to real-time data packets, an understanding of how the packet network is operating for different content types can be determined. In addition, these tables can provide network performance information for one-way, bi-directional unicast or multicast traffic flows.
Continuing with
Peer-to-Peer Distributed Call Control Using Distributed Tables
The network performance information that is stored in tables at each node may be used by the nodes to make network control or routing decisions when placing or routing calls. These decisions may be based on the network performance information that is indicative of network performance at a node segment associated with a node or other node segments for which the node has access in tables stored therein. The decisions may include employing congestion avoidance processes as understood in the art. Routing decisions, such as routing a call via a different transmission path to a called party, may be performed at the node to avoid congestion or other transmission problem at a node segment. Still yet, the node may determine that packet loss is high so the node may negotiate a lower CODEC bandwidth for on-going, and new sessions with another node prior to or during a telephone call in an effort to minimize packet loss between the nodes. It should be understood that the node making the decisions may include customer premise equipment, such as a SIP telephone, or any other node within a packet network, including wireless access points, DSL modems, and/or cable modem devices that suffer variable bandwidth availability. The distributed call control, in essence, may include the same or similar functionality as may be performed by a call control manager.
Centralized Network Performance Information Table
Collection of the network performance information may occur at regular intervals (e.g., every second, minute, hour, four hours, day, week month, or otherwise). Collection of the network performance information at regular intervals, especially shorter intervals, may add overhead to the CCM 1502 and network communications devices, so other collection schemes may be utilized for communication of the network performance information to the CCM, such as event and request driven collection schemes. Event driven communications of the network performance information may occur if a network communications device (e.g., media gateway 1516) determines that call quality has degraded below a predetermined threshold. For example, if jitter of real-time data packets increases above a predetermined threshold value, the network communications device may communicate current network performance information to the CCM 1502 for storage in the centralized table 1504. Alternatively, a message or alert may be communicated to the CCM 1502 to notify the CCM 1502 of the node segment problem, which may cause the CCM 1502 to store a value indicative of a problem to be included in the centralized table. Request driven communications may be performed by the CCM 1502 to send a poll or request to each of the network communications devices to communicate current and/or historical network performance information generated and/or collected by respective network communications devices. The centralized table 1504 may include the same, similar, and/or additional information as described with respect to TABLES I-IV.
The table 1504 may be used by various algorithms, thresholding events, or processes to determine routing changes, CODEC usage choice, or other call related functions that coincide with obtaining suitable or the best call quality using the network available. As provided in TABLE II, the network performance information may include transmission quality parameters (e.g., real-time bandwidth, jitter, delay, packet loss) in a duplex fashion (e.g., east to west and west to east). The values stored in the table may include derived data and actual raw data generated at the network communications devices, scaled data representative of the raw data (e.g., scale between 1 and 10 with 1 being the optimum capability and 10 being the worst capability or vice-versa), or indicia (e.g., grade rankings A-F) representative of the quality of the raw data. It should be understood that virtually any captured or derived data representative of the network performance information may be stored in the table 1504 that provides the CCM 1502 with the ability to manage calls on the packet network 1500.
In using the network performance information in the centralized table 1504, call processing within the CCM 1502 may use the network performance information for calls being set up. To accomplish this, the CCM 1502 may determine the route taken for the different calls based on location of the end-points within the packet network 1500 of the service provider. Since the CCM 1502 has end-point information recorded in conventional provisioning tables, segment information may be added to these provisioning tables that would provide information on how the bearer path would traverse the packet network 1500. This information would be added to both line and trunk provisioning tables within the CCM 1502. TABLES V and VI show possible configurations of conventional provisioning tables extended to include segment information as collected by the CCM 1502 from network communications devices.
As shown in TABLES V and VI, network performance information or, as shown, representative values of the actual network performance information for each segment may be stored with the associated lines and/or trunk groups. The segment information may be configured as shown above with a given set of values that corresponds to the node segments, such as the bearer paths 1508, network communications devices, or combination thereof, used in the transport of the call through the packet network 1500. The values could also be provisioned in a vector, using commas to delineate the segments. That is, the segments used in calls to/from the chosen end-point may be shown as X, Y, Z, AA, etc. No matter how the tables are provisioned, the network performance information or summary thereof may be utilized by call processing functions of the CCM 1502.
More specifically, to provide call control based on the lower layer status of the underlying packet network 1500, the CCM 1502 may employ a mechanism that queries the segment status table for each call. Algorithms may be used to access raw network performance information stored in the table and convert the raw data into a value that can be used for call processing. These algorithms may take different forms, such as determining the highest value of the network performance information columns (e.g., east-to-west delay, jitter, packet loss or west-to-east delay, jitter, real-time packet bandwidth, packet loss (see TABLE I)) and using the highest value as the status value of the segment. If using these transmission performance characteristics, three value range scales could be enacted that to signify (i) whether the segment is running normally, (ii) if there is slight impairment, or (iii) if the segment is too congested for added traffic. The three value range scale could be set at the CCM 1502 in an overall provisioning table that is commonly used in soft-switch development. For example, if the results of the algorithm are in a 1-10 scale, where 1 is the best availability and 10 is the worst availability, the “normal” availability could be a range of 1-3, impaired availability could have a range of 4-7, and congested availability could have a range of 8-10. Alternatively, the status may be defined using other indicia, such as colors (e.g., green, yellow, red) or letters (e.g., A, B, C).
Packet Network Diagnostics
In addition to being able to re-route calls in the event of a determination being made of a network node or segment being impaired or congested, the principles of the present invention provide for packet network diagnostics to be made manually, semi-automatically, or automatically based on network performance information collected from one or more network nodes. In one embodiment, network performance information may be collected and a parameter may be monitored. One or more threshold values may be established for use in determining that the network performance information parameter. For example, an upper and lower threshold may be established to ensure that transmission rate of data packets including non-real-time content so that a customer does not receive higher or lower transmission speed than contracted. In one embodiment, the network performance information may be collected and monitored at a central location on a packet network. Alternatively, each individual network node may monitor itself and other network nodes on the packet network and be configured to initiate the diagnostics.
If a determination is made that a threshold is crossed by the parameter being monitored, then diagnostics may be initiated. The diagnostics may include a wide range of functions, including initiating a loop-back test, trace route, modified trace route, ping, or otherwise, as understood in the art. Additionally, a command may be issued to a network node at which a network performance information parameter that crosses a threshold is associated to initiate a diagnostics routine and return a result from the diagnostics routine. For example, a software routine may be executed for the network node to execute one or more self-tests associated with data packet communications at the network node. It should be understood that the diagnostics may be initiated to monitor network nodes, segments, gateways, or any other network communications device. In addition, the network performance information from a second packet network owned by another communications carrier may be monitored by an operator of the packet network and diagnostics may be performed, but return limited result information to avoid sharing confidential information, for example.
Still yet, if the network performance information parameter determined to cross a threshold is associated with communications of data packets including real-time content or non-real-time content, the diagnostics may be directed to determining whether a problem exists with communications of data packets including real-time or non-real-time content individually depending on the problem that exists. Other diagnostics as understood in the art may be initiated in response to the type of network performance information parameter determined to cross a threshold.
Restricting Shared Access to Tables
More particularly, a permission table is illustrated as Table 17b0. Table 17B0 may include fields associated with an entity identifier 17b2, a segment identifier 17b4, and one or more network performance information identifiers 17b6.
Entity identifier 17b2 may be an identifier associated with an individual network participant, such as a subscriber, network operator, VPN provider, or other network participant. Alternatively, entity identifier 17b2 may be an identifier associated with a group or category of network participants 17b10. More particularly, such an identifier may identify a class of participants in a network such as a subscriber group, a network operator group, a VPN provider group, or any other suitable category. For example, there may be an identifier associated with the operator of the particular network or networks regarding which network performance information is stored in Table 17b0 such that administrative personnel, devices, or processes of such network operator may have full access to all of the information in Table 17b0. Alternatively, a group of network operators who are the operators of other networks in communication with the network that is the subject of the table illustrated as 17b0 may be given restricted, i.e., a much lower degree of, access to network performance information stored in Table 17b0.
Segment identifier 17b4 may be utilized to identify a particular network segment, such as a connection path between two network elements, a network element itself, or a particular process or component of a network element. Thus, an individual network segment may be identified as illustrated as 17b12 while a category of network segments, such as network-to-network interfaces (NNI), may be identified as illustrated relative to 17b22. Similarly, an entire network may be identified collectively to represent all network segments located within such network as illustrated relative to 17b24. Additionally, a particular network path through the network including all network segments located along such path may be identified such as is illustrated relative to 17b26. Similarly, a category of paths may be utilized as an identifier, such as, for example, all paths between the CPEs of a particular customer or group of customers, may be identified as illustrated relative to 17b28. Likewise, portions of paths including perhaps only those network segments between a customer's CPE and a network access point may be identified to give the customer or a network provider access to line state information for such customer as illustrated relative to 17b30.
NPI identifier 17b6 may identify different categories of network performance information that are available to be accessed by a particular network participant regarding a particular network segment or category of either of the foregoing. For example, individual items of network performance information, such as real-time and total bandwidth usage, packet, jitter, and latency, may be identified as illustrated relative to 17b14. Alternatively, an identifier representing full access to all available network performance information may be identified as illustrated relative to 17b16. Alternatively, NPI identifier 17b6 may be utilized to differentiate between categories of packets that are communicated across a network. For example, identifiers may be utilized to differentiate access between overall network performance information and more targeted network performance information, such as network performance information associated with real-time data packets. Any combination of the foregoing may also be utilized. For example, an identifier may be provided that allows full access to real-time network performance information.
Although only one example of a portion of a permission table is illustrated in
The network performance tables may include network performance information on many different levels. For example, the network performance information may be collected and status values indicative of the operational status or performance of the node segments may be generated in addition to storing specific network performance information (e.g., packet loss, bit rate, bandwidth, etc.) in the network performance information tables. Rules may be established to enable certain users, partners, affiliates, or otherwise, to have access to certain levels of data. The levels of data may be specified in the network performance information table and define parameters that each level may access.
Additionally, network performance information being communicated via PIP packets may also be protected from different entities, nodes, or otherwise, from having access to certain information. In one embodiment, the network performance information may be encoded or otherwise identified so that the level of the information is specified and, thereby, restricted to be accessed by parties or equipment that do not have permission to access nodes above a certain level. The levels may range from 1 to 10, for example.
PIP Data Packet Stitching
Each of Network A and B may have its own respective PIP packets associated with each of their respective networks and respective modified Y.1731 protocol stacks or other measurement processes monitoring communications between nodes 1804 and 1806. A third set of PIP packets and associated Y.1731 protocol stacks may monitor the communications between the network-to-network interface devices 1806. Real-time data packet performance and total network performance information may be generated and communicated in the PIP data packets. In one embodiment, a first-end point in the network communications path generates a special PIP packet that routes through devices 1804 and triggering each modified Y.1731 measurement engine to inject its stored network performance information into the PIP packet by appending network performance information and a segment identifier into the PIP packets as it is passed downstream. This PIP packet with the appended network performance information then continues and triggers the same performance measurements (PM) or network performance information pull at the next network node and associated modified Y.1731 protocol stack inserts its PM information concatenated behind the first nodes PM information. This process continues for each network node such that the network node's node segment identifier and network performance information is concatenated into the next PIP packet sent in the downstream path direction. Such PIP packet travels in turn to the subsequent network node and associated Y.1731 protocol stack, where additional network performance information is appended and a node segment identifier is added and then the combined network performance information is transmitted again via a PIP packet until the PIP packet reaches the far end network node and Y.1731 protocol stack. Each Y.1731 protocol stack along the path can read the appended segment PM information and store the network performance information or optionally choose to terminate the PIP segment PM information by removing some or all of the appended data so the next PIP packet sent downstream contains only that segment's information, or simply add its own network performance information into the PIP packet. If a network node or associated modified Y.1731 stack protocol terminates the PIP packet, the network performance information is stored, and a new PIP packet that does not include the stored network performance information is communicated to start stitching new network performance information from network nodes and associated modified Y.1731 protocol stacks located downstream in a network. It should be understood that data packets other than PIP data packets and stacks or processes other than the modified Y.1731 protocol stack may be utilized to communicate the network performance information between the network communications devices. The network communications devices 1804 may be configured to communicate the network performance information in the PIP data packets on a regular basis (e.g., every second, minute, hour, 100th PIP data packet), based on an event (e.g., performance information parameter crossing a threshold value), in response to receiving a PIP data packet with network performance information contained in the payload portion, or in response to a request or command. The PIP data packets 1802 may be 802.1AG data packets and be communicated over OSI Layer 2.
To correlate the performance manager measurements on a transmission path, the network performance information measured may use multiple bins to store data collected over a period of time. Multiple bins can concurrently exist for different time window lengths, such as 5 minutes, 10, minutes or otherwise. For example, special “bin roll” PIP packets or sequentially number packets may indicate which timeframe bin the information should be stored in. For example, PIP sequence or bin packets may be generated at time periods that include 1, 5, and 15 minutes. The modified Y.1731 performance measurement function can have multiple bins that correlate to the PIP sequencing or flags to ensure the PIP packet data is stored in the correct bin. Also, longer time periods may be added to the modified Y.1731 stack, including 1 hour and 24 hours. The modified Y.1731 stack or counters may be accessed to derive or compute the network performance information. Access may be performed by using time period numbering.
To provide isolated segment performance information, each network communications device 1804 may be configured to receive a PIP data packet 1802 containing network performance information from other network communications devices and append network performance information generated at the respective network communication device with the other network performance information within the PIP data packet 1802. This concatenation process may be considered “stitching” of network performance information along a transmission path. This function helps identify path verses shaping functions in the transmission path, and also provides the ability to retrieve network performance information in-band verses using multiple external EMS systems to retrieve the information for fault isolation. To ensure that errors in the bins do not occur, the PIP data packets 1802 may be marked (e.g., <15 minupdate>) so that each of the network communications devices along a communications path appends information contained in the Y.1731 bin that is storing network performance information associated with the marking (i.e., <15 minupdate>).
Included at the start of the network performance information is an identifier of the node segment “A204.” Additionally, an identifier of a carrier may be added to the PIP data packet, such a carrier name or code. Jitter, delay, packet loss, real-time bandwidth, total bandwidth, and time at which the network performance information was generated may also be included in the network performance information. This network performance information may be compared with historical network performance information previously sent from node segment A204 to determine whether a problem has developed over time. As shown, network performance information of network segment “A205” is appended to the network performance information “A204.” It should be understood that other embodiments for communicating the network performance information may be utilized.
Continuing with
The network communications devices may include performance managers (PMs) that perform the function of managing the modified Y.1731 stack. The performance manager or other software module may perform the functions of accessing the stack to collect network performance information, optionally at particular time periods, concatenating the network performance information into the PIP data packets, and communicating the data packets in-band or out-of-band. The performance managers of the network communications devices may become tools that represent correlated performance manager counter usage in-band in short time intervals, which results in (i) eliminating in-flight measuring accuracy issues, (ii) eliminating multi-carrier segment troubleshooting, (iii) optionally enabling in-band performance managers for access versus out-of-band enhanced messaging services or graphical user interfaces, (iv) and correcting the issue of stacking access technologies that introduce multiple in-line PIP packet flows that have to be polled.
In accordance with the principles of the present invention, an OAM domain, shown as a Stitched ME 2214, extends between the subscriber equipment 2204 through the transmission path of the operator equipment 2202 of both operators. The Stitched ME 2214 provides for communication of network performance information generated at each element of subscriber and network equipment in the packet network 2200, and PIP data packets (not shown) may be generated and communicated from the subscriber equipment 2204a and successively through the operator equipment 2202 on the packet network 2200 as a single flow that is stitched or concatenated together via higher order packets to the subscriber equipment 2204b (upstream to downstream). It should be understood that two flows may be operating in opposite directions since the full duplex nature of some communication technologies allow divergent receive and transmit paths. Each MEG Intermediate Point (MIP) (set of stitched MEG End Points (MEPs)) may transparently append or block and re-start the PIP data packet flow, or selectively including network performance information. Bins having predetermined time periods (e.g., 5 minutes, 15 minutes, 1 hour, 24 hours) may be created to create a “stitched” PIP data packet that pulls network performance information from each of the communications devices (subscriber equipment 2204 and operator equipment 2202) on the packet network 2200 in a correlated manner. Sequences and counter resets may additionally be adopted for providing the PIP data packet stitching. To perform the stitching operations, the MIPs may pull the modified Y.1731 information from the upstream node segment and append it to the stitched packet traveling downstream. As previously described, node identifiers and/or carrier names or codes may be included in the PIP data packets to identify the carrier and node segment that the modified Y.1731 performance manager data was inserted. In one embodiment, MIPs, or certain MIPs, may remain “unstitched” and operate as a pass-through.
Although the Stitched ME domain extends from end-user to end-user, the principles of the present invention may provide the ability for operators to be limited to accessing information from their own network or limited information from other service provider networks. Subscribers, similarly, may be limited to having access to their own equipment or a summary of operator information. There may be a number of different techniques used to provide such limited visibility for operators and subscribers, including safeguards built into performance managers at each network communications device.
Call Control Manager Functionality Enhancement
To provide a better experience for end-users, a mechanism is being introduced to provide near real-time monitoring capabilities of the path and link status of the underlying packet network upon which a voice-only or multi-media call is carried. This information can be sent to the CCM and acted upon to choose or alter the call characteristics and routing of calls, such as change codec use, provide call treatment and routing, and alter overall use of the call path, etc., thereby providing a better quality of service for the end users.
One technique for providing this network monitoring capability is the use of a link state reporting structure in the form of PIP packets. Both line state (i.e., transmission path to a user), and trunk state (i.e., shared transmission path state between network nodes) can be provided to the CCM to convey the transmission path state of the packet network. The PIP packets themselves provide a line or trunk state, respectively, at each end of a line or trunk transmission path. To enable CCM management capabilities, line and trunk states may be communicated to the CCM via call control protocols or some other type of packet network signaling. The PIP and PM measurements protocols provide the means to monitor the quality of the link states and report findings to a separate network element. As previously described, included in this near real-time report may be real-time bandwidth usage, packet loss, latency, and jitter or any other network performance information. The monitoring of this information can happen within any area of a network and can provide a means to report the lower layer status of the network. As shown in
PIP packets may also provide information between two end devices even though a network element is located between the two end devices. That is, if the provider would want to see the overall “health” of the path between media gateway 1520 and media gateway 1516, the PIP packets can be configured to monitor this route even though the router 1506 is part of the routing of this path. Once collected, the raw information from these paths can be configured to show the overall health of the route. Information contained within the PIP packets may be used to determine metrics, such as real-time bandwidth usage, jitter, packet loss and overall delay, of the path being measured. These calculations may be performed at the individual element, or information may be transported to another collection device to be used by other call processing functions as shown in the CCM 1502. These real-time events may be used to provide input into the decision functions used in call routing within the CCM. The measure of real-time bandwidth being provided by the PIP packets also enables a summation of the real-time bandwidth on that path. Historically, this metric is part of a TDM CCM function, but was not replicable or available without both the number and amount of real-time bandwidth usage on a node segment. These combined functions provide for such a measure, thereby the CCM may contain a table of the amount of “Erlangs” being used on trunking facilities. Other time intervals may be used to accommodate other non-Erlang-like measures.
In accordance with the principles of the present invention, new steps are added to the call processing 1504 of the CCM 1502, over and above the normal call processing currently done. Since the CCM now has the capability to track the lower layer performance and bandwidth availability of the underlying network, a new type of status table may be added to call processing that systematically updates during specific time intervals throughout the day. These updates, which may occur periodically (e.g., once per second) may be placed in one or more tables (see TABLES II-IV) in a form that may show utilization, latency, jitter, and packet loss. While there are other types of information that could be shown, such as Mean Opinion Score (MOS) voice values, for simplicity, these three basic parameters are illustrated and discussed herein.
In normal operation, when an end-point, either a trunk or line, initiates a call, call processing operating in the CCM 1502 determines the terminating end-point to complete the call. In conventional calling scenarios, the call would then be set-up and the call path established for the end-users to converse. This is conventional call processing based on provisioned information that would give call processing the ability to route the call. The principles of the present invention take advantage of collecting the network performance and utilization information from the node segments to aid in performing call processing. Call processing may perform normal information lookup to determine the originating and terminating end-points of the call, but before routing the call, the end-point or node segment information from these end-points may be retrieved and call processing may query a network segment status table (e.g. TABLE IV) to determine the line or trunk state availability of the node segments that could be used to connect the originating and terminating end-points for the call. Depending on the availability of the paths used on the call, special call handling, load balancing, call spacing, or other special call handling can be invoked to sustain call processing, and provide relief for the call path or in extreme congestion, alternate routing could take place to provide for a satisfactory voice path on the packet network. This management can be done at call set-up and/or anytime during the call. As transmission state is available at both the CCM and call protocol stack at the user location, multiple enhanced call functions may be possible. For example, outgoing user calls could automatically query the line state on the CPE to provide the user with graphical or text based feedback as to call options for multi-media setup given they have a specific transmission quality to utilize. For example, a multi-media call could revert to a frozen image and voice-only call until congestion clears. The same condition may enable the CCM to know the state before setting up a call and either make a decision by itself or query the user or user's equipment about how to alter ongoing sessions to allow more communications. The line state information availability to the switch and user may be used to provide session control feedback. The same information of threshold crossings may be used to convey that a call may be dropped prior to the incident occurring. These functions may have significant value to the customer experience. The trunk state of shared resources is paramount for inter and intra-switch path state knowledge. Packet networks may be considered to operate autonomously given that the bandwidth being used by the CCM is also being used by other services without knowledge by the CCM. To operate appropriately, the CCM may use transmission state feedback so it can be pre-cognitive of the communications path state during call handling. Without the trunk-state information between two switches, each switch operates under the assumption that enough bandwidth exists to sustain all calls. Often, neither switch will “own” the bandwidth flow control mechanisms for flows between the switches, so this assumption is dangerous in terms of providing carrier grade call handling. Conditions can arise in which inadequate bandwidth or device resources are available to support all calls and packets are dropped. If the switch knows the path state (line or trunk), call handling alternatives may provide customers with feedback that was previously unavailable and provide better call quality and call handling. It should be understood that the CCM may use both line and trunk state tables and make call handling and customer call feedback decisions based on the severity of node segment congestion, including, for example: (i) CODEC modification, (ii) rerouting the call, and (iii) congestion control.
Codec Modification
In a line-to-line call between two end-users 1512 and 1518 (
At step 2406, a decision is made if the call is allowed by determining whether the calling party is registered, authorized or otherwise. The CCM, more specifically, retrieves terminating end-point addressing and location based on conventional table lookups within the CCM. At step 2408, a decision is made as to whether the call is allowed. If it is determined that a call is not allowed, then at step 2410, a “reject” message may be sent to the originating line and the process ends at step 2412. If at step 2408, a determination is made that the call is allowed, then at step 2414, routing translations from call control is checked. At step 2416, routing information is found and termination line information is received. In addition, node segment assignment information for the originating and terminating lines is retrieved.
At step 2418, a determination as to whether the terminating line is available is made. If the terminating line is not available, then at step 2420, a “reject” message may be sent to the origination line and the process ends at step 2422. If, however, at step 2418 the termination line is determined to be available, then at step 2424, the node segment status table is accessed to locate usage status of node segments to be used for connecting a call between the origination and termination lines.
At step 2426, node segment state information stored in the node segment status table is received. The information from the node segment status table includes origination line information and termination line state information. The node segment status information is used to determine if a transmission path state to be used for the call has any congestion. Depending on numerical or other indicia status retrieved by the call processing, a determination of the congestion of the transmission path will be (i) normal or (ii) impaired, or (iii) congested, for example. The determination of the transmission path being normal, impaired, or congested is made based on network performance information having values determined to be within ranges, where the range may be a single value (e.g., 1, “A,” “normal”). It should be understood that the range may be defined by a single value, such as “Congestion” representing status values between 7 and 10, for example. As previously described, the values may be processed to be within a scale, such as 1-10, indicative of the status of transmission performance.
At step 2428, results from the node segment status table for the originating line is received. At step 2430, a determination of a largest node segment status is made. Determination of the largest node segment status is made by determining a highest value of status indicators in the node status segment table associated with the originating line information. Determining the largest node segment status is performed to identify a limiting transmission parameter (e.g., bandwidth usage, packet loss). As previously described with regard to TABLES V and VI, the larger the value, the worse the network performance information associated with a node segment, thereby resulting in poor voice quality during a call, this information may be provided back to the caller as system feedback. Note, that the largest value may be a high quality value and is indicative of a well performing network; i.e., all paths are equal and capable of supporting high quality calls. At step 2432, a determination as to the status of the originating line node segment is made, which, in one embodiment produces one of three results, normal, impaired, or congested. If normal, the process continues at step 2434 in
If it is determined at step 2432 that there is an impaired condition, then call processing being performed by the CCM may change the message that would be sent out to the terminating end-point to request a CODEC to use a lower bandwidth for the call path. This lower bandwidth request may be performed in concert with a user interface or performed via the user CODECs without user participation. This is shown at step 2452, where CODEC capabilities of the originating and terminating lines are checked and a determination is made at step 2454 as to whether a lower speed CODEC is available. If it is determined that no lower speed CODEC is available, then at step 2456, a “reject” message may be sent to the originating line. The process ends at step 2458. If, however, a determination is made at step 2454 that a lower speed CODEC is available, then at step 2460, an invite with a lower speed CODEC may be sent to the terminating line. At step 2462, a wait may be performed for a subsequent message from the terminating line. At step 2464, a positive response message may be received from the terminating line. At step 2466, a message is sent with new CODEC information to the originating line and, at step 2468, normal call control is performed. The process ends at step 2470. Not shown in this embodiment is that other call set measures could be considered in a serial or parallel fashion by the CCM in addition to CODEC negotiation to establish a quality call.
In summary,
To provide the originating caller with a CODEC change, call processing may wait for the return information from the called party to be received. Once the information is received from the called party, then the call processing may alter the message to include the change to a lower bandwidth CODEC and pass it on to the originating patty. From this point on, normal call processing would continue and the call would be set-up with the lower bandwidth CODEC.
If at step 2432, a determination is made that the originating line node segment is congested, then the process continues at step 2438 in
Continuing with
Best Path Metrics
In determining transmission paths through a packet network, a CCM or other node may make a determination of the transmission path for a call or other communication to be made over the packet network based on current, historical usage, or network performance of node segments on the packet network. In one embodiment, a transmission path to route the call or communication may be determined by using network performance information or information derived therefrom (e.g., network segment status information) available in a table or at each node along a potential transmission path. In one embodiment, a calculation may be made to determine metrics along one or more transmission paths through the packet network to determine that the metrics result in a cumulative value below a threshold or the best metric of the potential transmission paths. Currently, most best-path algorithms use total utilization and bandwidth size for determining the quality of the path. In accordance with the principles of the present invention, characterization of real-time jitter and delay performance characteristics may be used to determine best path metrics. Modification of the best path metrics to include the real-time usage, and performance enables enhanced load balancing and path choice decisions for real-time flows. In one embodiment, these real-time network performance information characteristics may have a higher priority on the network. This modified metric enables the network to make enhanced routing decisions for traffic routing that was not possible without the transmission state or network performance information. One example of best route calculations improvement may include averaging, and, optionally, burstiness characterization. Best path calculation methods may include calculations, such as root-sum-square (RSS) and weighted vector calculations, that may be utilized to determine the path or paths with the optimum best path metrics. Further, a weighted average of the network performance information or status levels may be determined. In one embodiment, the best path metrics may create a real-time utilization state by which engines, EMS systems, and other network protocols may retrieve and utilize to gain system feedback as to the nature of the real-time network state. Also, a search for a transmission path having lowest sum of status levels may be used to determine best path metrics. In response to determining the transmission path with the best metrics, that transmission path may be used for establishing the transmission path for a call or communication.
Rerouting Calls Using Network Status Segment Table
While calls between two end-users, such as end-users 1512 and 1518 (
In a typical line-to-trunk call, the combination of line segment congestion and trunk segment congestion may be taken into account. It should be understood that a network switch may track all transmission paths to a central point, trunking point to trunking point, hybrid of line to central point, or line to trunk in a transmission state table. Since the end-user initiates the call, the first half of the call would use node segment analysis described previously to determine if the transmission path at the calling node segment is operating properly or has impairment. If the calling node segment is found to be impaired, then call processing may determine that a lower bandwidth CODEC may be utilized to improve the call quality or take other steps, such as allow the call to be made as a voice-only call rather than a multi-media call. If the originating node segment is congested, then the call processing may reject the call since there is no other path for the end-user to use. However, if there is a transmission quality or utilization problem at the terminating trunk node segment, then a rerouting option for the call may be available. In one embodiment, utilization means real-time utilization as compared to total bandwidth utilization with packet loss or the statically provisioned bandwidth allotted in that physical or virtual channel. Any indicators can serve to calculate the state of the user's transmission “line” or shared resource “trunk” transmission path. As stated, the CCM can now have a secondary “state” for that segment, line, or trunk by which it predetermines how call processing for that end-point should be handled. This secondary state is indicated in table VII below. TABLE VII includes an exemplary list of scenarios for the call processing to follow based on the combined status of the originating line and the terminating trunk
Scenario 1
In this scenario, normal call processing may be used since none of the transmission paths are constrained or impaired. The call may be routed without any changes to the voice coding of the call through the transmission path.
Scenario 2
Since the originating line is impaired, call processing may adjust rate of a CODEC for the call. The rate adjustment may be performed by lowering the rate of a CODEC or routing the call to another CODEC having a lower rate. Call processing may check the segments of the outgoing trunk to determine if the media gateway on the transmission path has capability to alter the CODEC used to convert the packet information (e.g., IP Packet Information) to a TDM format. If CODEC alteration is possible, then the CCM may negotiate the CODEC speed between the originating call device and the terminating trunk and establish the call via the CODEC having the lower speed. If the media gateway does not have multiple CODEC speed capability, then the call controller may have the option of routing the call via another trunk group if an alternate route to the terminating call device is available. If another route exists, then the call processor may reroute the call to the next trunk group and the node segment status check may be performed prior to establishing the call via the trunk group. If the trunk group has CODEC modification capabilities, then the call may be established via a CODEC with a lower speed and the call may be established. If another trunk cannot be found with CODEC speed alternatives, then the call may be dropped.
Scenario 3
If the originating line is determined to be congested, then since there are no alternative routes for the originating part of the call, then a call “reject” may be sent to the user and the call dropped.
Scenario 4
If the terminating side of the call is determined to be impaired, then a determination as to a lower bandwidth CODEC may be used. If the terminating trunk group has the capability to use a different CODEC, then a determination as to the CODEC capabilities of the originating line may be performed. If a lower bandwidth CODEC is available, the call may be established with these CODECs and the call may proceed normally. If there are no CODECs available at the originating side with a lower bandwidth, then the call processing may perform a reroute as described in Scenario 2.
Scenario 5
If the terminating trunk is determined to be congested, then call processing may search for a reroute for the call over a terminating trunk that is not congested. The call processing may include locating a trunk group having a normal or lower speed CODEC for establishing the call.
At step 2518, a determination may be made as to whether a terminating trunk in a transmission path between the originating call device and terminating call device is available within the trunk group. If so, then a node segment status table may be used to determine usage status of the node segments along the transmission path. At step 2522, results from the node segment status for the originating line may be received. At step 2524, determination of the originating line segment status may be determined. In one embodiment, three node segment statuses may be determined, including “normal,” “impaired,” and “congested.” At step 2526, a determination as to the status of the originating node segments may be determined. If it is determined that status of the originating node segment is normal (i.e., status is within a range that provides for normal, full transmission rate operation), then the process continues at step 2528 in
In one embodiment, the line and trunk state checking may become part of the call processing procedure. Typically, Call Admission Control functions are blindly applied without regard to path state to reserve bandwidth. In one embodiment, the line and trunk state utilization and performance management may be provided as a state to the reservation engine in a switch to validate or accelerate the “CAC approval” verses statically assigning the number of calls allowed. This modification provides enhanced value given that CAC function assumes a static CODEC utilization and cannot predict the use of silent suppression or unknown real-time use in the transmission path. It should be understood that the CAC function may be part of the CCM or reside outside the CCM on a centralized CAC resource, such as a RSVP or RAC server.
From step 2528 in
If at step 2542, a determination is made that the status of the terminating segment is impaired, then at step 2550, a check of CODEC capabilities of the terminating trunk may be performed. If at step 2552 it is determined that a CODEC having a lower rate is available, then at step 2554, a check as to the CODEC capabilities of the originating line is performed. At step 2556, if the determination is made that a CODEC is available with a lower rate at the originating line, then the process continues at step 2558 to send a set-up request for a lower speed CODEC to the terminating trunk. At step 2560, the call processing waits for a subsequent message from the terminating trunk indicating that the terminating trunk has been able to set-up a CODEC with a lower speed at step 2562. At step 2564, a message is sent to the originating line with new CODEC information. At step 2566, the call control continues normally and the process ends at step 2568. If at step 2556 a determination is made that no CODECs are available at a lower rate for the originating line, then a “reject” message is sent to the originating call device at step 2570 and the process ends at step 2572.
If (i) at step 2542 a determination is made that the terminating segment is congested or (ii) at step 2552 that no CODEC is available at the terminating trunk, then the process continues at step 2574, where call processing is checked to determine if there is another route available from the originating call device to the terminating call device via a different trunk. At step 2576, results for a trunk group selection is returned and a determination as to whether an alternative trunk group is available at step 2578. As understood in the art, a trunk group is two or more trunks of the same type between two different nodes. If an alternative trunk group is available at step 2578, then at step 2580, a message may be sent to restart terminating trunk processing with a new trunk group. The new terminating trunk information is received at step 2582. Additionally, node segment assignment information for the alternative terminating trunk group may also be received. The process continues at step 2584, which repeats the process from step 2536 using the new terminating trunk for determining whether a call may be established via that trunk.
If at step 2578 it is determined that an alternative trunk group is not available, then at step 2586, a “reject” message may be sent to the originating call device. The process ends at step 2588.
Continuing from step 2526, if a determination that the status of the originating segment is impaired, then the process continues at step 2530 (
If it is determined that a lower speed CODEC is available at step 2592, then at step 2598, the network segment status table is accessed to find usage status of the terminating trunk. At step 25100, results from the network segment status table for the terminating trunk are returned, and a determination as to the terminating trunk segment status is made at step 25102. At step 25104, a determination is made as to whether the terminating trunk segment status is normal, impaired, or congested. If it is determined that the terminating trunk segment status is no more impaired, then at step 25106, CODEC capabilities of the terminating trunk are checked. At step 25108, a determination may be performed to determine whether the CODEC is available. If a CODEC is available, then at step 25110, a set-up request for a lower speed CODEC may be sent to the terminating trunk. At step 25112, the call processing waits for a subsequent message from terminating trunk until the terminating trunk notifies the call processing that the lower speed CODEC is available and ready at step 25114. At step 25116, the new CODEC information may be sent to the originating line. The call control processing may continue normally at step 25118 and the process ends at step 25120.
If at step 25104 a determination is made that the terminating segment is congested or at step 25108 no CODEC is available at the terminating trunk, then the process continues at step 25122 to request from the call processing as to whether there is another route available via another trunk. At step 25124, results for another trunk group selection are returned. At step 25126, a determination is made as to whether an alternative trunk group is available. If not, then at step 25128, a “reject” message may be sent to the originating call device and the process ends at step 25130. If at step 25126 a determination is made that an alternative trunk group is available, then at step 25132, a message to restart the terminating trunk processing with a new trunk group is initiated. At step 25134, new terminating trunk group information is received along with segment assignment information for the alternative terminating trunk group. The process continues at step 25136, which causes the process to use the new terminating trunk group to determine whether a call may be established via that trunk group for the call by the originating call device to the terminating call device.
Continuing at step 2518 of
In summary, the process of
Additional Call Rerouting
In one embodiment, the principles of the present invention provide for network performance information to be utilized in rerouting calls to subscribers in the event of a node segment being determined to be impaired or congested, or otherwise unavailable for example. In such an event, when a call comes into the CCM, the CCM may use a directory to look up other potential contact's telephone numbers or addresses to which the incoming call may be routed in an attempt to connect the calling party with the called party. For example, if a calling party has attempted to reach a called party on his or her mobile handset and the CCM determines that the transmission path to the subscriber's mobile handset is not working properly, then the CCM may locate an alternative number of the called party, such as a home or work telephone number or other identifier, such as an SIP Universal Resource Identifier, and route the incoming call to the called party's alternative number or identifier. In one embodiment, the CCM makes the decision as to which number to call based on time of day or other factors (e.g., a subscriber preference parameter).
In another embodiment, the CCM may receive a call to a subscriber that the CCM knows to be on a heavily congested or otherwise degraded node segment. The CCM may make a decision to place the call directly into a called party's voicemail rather than tie up the heavily congested or otherwise impaired node segment with additional real-time content communication. Alternatively, the CCM may notify the heavily congested or otherwise degraded node segment to slow down, halt or otherwise offload non-real-time content communications being communicated through the node segments so that the telephone call, which is a real-time content communication, may be properly and timely placed to the called party.
Congestion Control
Calls from trunks, such as the network-to-network interface or session border controller 1510 of
Generally, when a call comes into the network, call processing operating in the CCM receives an incoming call message with data identifying the port and address of the incoming call. Based on the port, address, and called number information, the CCM determines the transmission path, including the node segments, over which the call is assigned. In accordance with the principles of the present invention, the CCM may examine the status of the node segments associated with the transmission path. If the status of the node segment is classified as impaired, call processing may determine if the terminating line has the capability of using a lower bandwidth CODEC. If so, then the CCM may send a set-up message to the end-point requesting use of the lower bandwidth CODEC. In a return response to the other network, call processing may pass the new request for the lower bandwidth CODEC. If accepted by the other network, the call may proceed. Otherwise, the call is terminated.
For other calls coming into the network via the trunk, the CCM may follow the same process of determining whether a CODEC having a lower bandwidth is available. If a network segment status is congested, call processing may not try to process the incoming call and send a release to the other network via the originating trunk.
In one embodiment, the CCM may manually or automatically enact call throttling procedures based on congestion of the originating trunk segment interconnecting to the other network. These throttling procedures may be in the form of automatic congestion control (ACC), selective incoming line control (SILC), call gapping, number or IP address blocking, or any other well-known throttling call control mechanisms. Based on timers or incoming call counts, the CCM may allow calls to be attempted at certain times to test the congestion of the path. If the node segment becomes uncongested, call processing may allow calls to enter the network and throttling mechanisms may be taken off of that path.
At step 2616, a determination is made as to whether the terminating line is available. If not available, then at step 2618, a “reject” message is sent to the originator and the process ends at step 2620. If at step 2616 it is determined that the terminating line is available, then at step 2622, the network segment status table (e.g., TABLES V-VI) may be accessed to find usage status for the originating trunk. Results from the network segment status table for the originating trunk are received at the call controller at step 2624, and a determination of the largest segment status is made at step 2626 to determine a worst parameter of the trunk.
At step 2628, a determination is made as to the status of the originating segment at the trunk. If the status is determined to be normal, then the process continues at step 2630. If the status of the originating segment is determined to be impaired, then the process continues at step 2632. If the status of the originating segment is determined to have congestion, then the process continues at step 2634. It should be understood that the status may have more or fewer levels than those presented herein. The levels (i.e., normal, impaired, and congested) represent a range of values determined from network performance information reported to the CCM and stored in a table as collected by network communications devices or nodes on the packet network.
If a determination is made at step 2628 that the status of the originating segment at the trunk is normal, then the process continues at step 2636 (
If, at step 2642, a determination is made that the status of the terminating segment is impaired, then the process continues at step 2650, where CODEC capabilities of the terminating line are checked. If a lower rate CODEC is available, as determined at step 2652, then the process continues at step 2654, where a set-up with the lower speed CODEC is sent to the terminating line. At step 2656, the call controller waits for a subsequent message from the terminating line, and, upon receiving a response from the terminating line indicating that the lower rate CODEC is available at step 2658, a message is sent to the originating IP trunk with the new lower rate CODEC information at step 2660. At step 2662, the call control process continues to complete call set-up and ends at step 2664.
If at step 2642 a determination is made that the status of the terminating segment is congested or no lower rate CODEC is available at step 2652, then the process continues at step 2666, where a “reject” message is sent to the originating call device. The process ends at step 2668.
Returning back to step 2628, if the status of the originating segment is determined to be impaired, then the process continues at step 2632, which enters the process at step 2650 in
In summary, the process provided in
Data Routing
The network performance information may include information indicative of a node segment being impaired or congestion to the point that non-real-time information is buffered, blocked or otherwise impeding real-time content from being timely communicated therethrough. The node, layer 2, or above protocol stack, such as the Multi-Protocol Label Switch (MPLS) Label Description Protocol (LDP) stack, may determine that the node segment, such as a router, is being overloaded with non-real-time content and cause the node to slow down, delay, stop, or drop the non-real-time content from being communicated through the node segment. The higher protocol stacks may use the transmission state information to make decisions for Label Switched Paths (LSP) to modified, rerouted, or shaped based upon the link state measured for both real, and non-real-time content. Once the higher protocol stacks have the real-time information, functions, such as choosing LSPs or load balancing are possible. Oversubscription rules may also be dynamically calculated based upon an amount of real-time traffic traversing over a path or segment, utilization and performance information communicated to the higher protocol stacks, and provisioning engines associated with the higher network protocols. Given higher stack protocols, such as MPLS, or Provider Backbone Transport (PBT), traffic engineering may be used to setup and reroute virtual circuits knowing the amount of real-time bandwidth usage and a path state that enables a higher reliability so that failovers will not exceed oversubscription parameters. This state knowledge may be used by packet mesh networks where multiple paths exist and each path has multiple backup paths. In general, data networks use a 1:n path protection schema. When three or more links exist, protection is typically non-linear as potential bandwidth usage is a function of the destinations identified in the routing tables. To enable packet failover in a 1:n configuration where the amount of real-time traffic is known provides a network carrier with greater service assurance reliability and metrics to manage the network. In summary, the network performance information for segments is stored at network nodes tracking the real-time bandwidth usage and other performance data. The stored network performance information is made available to the higher protocols, such as MPLS, LDP, and EMS systems to track the amount of real-time or near real-time bandwidth being used. Tracking the real-time bandwidth usage enhances network management for provisioning systems, failover protocols, traffic management analysis, and billing system utilization.
In one embodiment, a decision as to which real-time content or non-real-time content to prioritize, slow, throttle, block, rate, re-route, or otherwise control may be made based on both network performance information and service level commitments or guarantees of the quality of service that have been made to a particular customer. For example, such decision may be made to minimize the amount of service level credits that have to be made to a particular service providers customers based on how such decisions would impact the ability of the service provider to satisfy one or more such service levels or quality of service guarantees. If customer quality of service levels and guarantees are to be used for managing network performance, then a database including customer quality of service and other service contract parameters may be stored and accessed to verify that the network performance information meets the contractual requirements for customers of the communications carrier. In one embodiment, a determination may be made that a particular application is utilizing too much bandwidth through a node segment. For example, an application for streaming a movie, television show, or other entertainment content may be utilizing bandwidth at a network node that is being strained to deliver real-time content during a particular time period. The non-real-time content associated with that application may be slowed down, dropped, or rerouted to another node segment so that the real-time content being communicated over the node segment may be properly serviced. The CCM may additionally track applications over time to determine that other provisioning may be utilized for that application during certain time periods or permanently due to increased traffic, either real-time or non-real-time content, via one or more network nodes.
Enhanced Messaging Services
An Element Management System (EMS) may be used by communications carriers to monitor and manage performance of their respective networks. Network performance information may be collected and sorted in a manner to provide for reporting, provisioning, billing, and troubleshooting purposes. The functions may use the network performance information and distinguish between real-time and non-real-time content communications.
One or more performance data collectors (collectively performance data collector) 2713 may be configured to be in communication with network equipment that operates on the network of a carrier, such as network 2702. As shown, the performance data collector 2713 is in communication with end-point devices, such as IP service point 2706, network-to-network interface 2708, and customer access device 2710, for example. However, other network communications devices may also be in communication with the performance data collector 2713, either directly or indirectly. In one embodiment, the performance data collector may communicate with the network communications devices via out-of-band communications paths 2712a-2712n (collectively 2712). Alternatively, the performance data collector 2713 may communicate with the network communications devices via in-band signaling paths (not shown).
A performance data manager 2714 may be configured as one or more computing devices and be in communication with the performance data collector 2713. Although shown as two or more separate devices, the performance data manager 2714 and performance data collector 2713 may be configured as a single computing device. The performance data manager 2714 may further be in communication with a database server 2716, optionally configured in multiple devices, that is operable to store one or more databases 2717, including the network performance information collected from network communications devices on the packet network 2702 by the performance data collector 2713. The databases 2717 stored in a database server 2716 may be managed by an off-the-shelf database system, such as an Oracle® database or any other commercially available database. Alternatively, the database may be created and managed by a communications carrier or other entity.
In operation, the performance data manager 2714 is configured to instruct the performance data collector 2713 to request and access network performance information from network communications devices on the packet network 2702. The performance data collector 2713 may, in turn, issue requests or polls to the desired network communications devices, either directly or indirectly, to obtain network performance information desired by the performance data manager 2417. In one embodiment, the performance data manager 2714 may issue commands to the performance data collector 2713 on a periodic basis (e.g., every 15 minutes). More particularly, the performance data manager 2714 may be configured to request certain network performance information more often than other network performance information. For example, transmission quality and connectivity may be collected every second or minute while transmission rate and bandwidth is collected every 15 minutes. Alternatively, the performance data manager 2714 may be synchronized with the modified Y.1731 stack bins in requesting counter values in each bin at the appropriate time intervals. Still yet, the performance data manager 2714 may be configured to request network performance information in response to an event after parsing and examining network performance information previously collected. In one embodiment, the performance data manager 2714 operates to collect data from a data packet of a single carrier. Alternatively, the performance data manager 2714 may be configured to collect network performance information from multiple networks of multiple carriers, if such permission is provided by the different carriers. The performance data manager 2714 may be managed by a carrier or a third party, where the third party is independent from the carriers and has permission to access and manage certain or all network performance information post-processing operations for the carriers. In these later two cases, where a third party is involved, quantity of access requests and/or information may become a basic billing element used in providing access to this information.
In accordance with the principles of the present invention, the performance data manager 2714 and performance data collector 2713 may be configured to request and receive network performance information, including performance and utilization, associated with communications of data packets including real-time and non-real-time content. The performance data manager 2714 or performance data collector 2713 may store the network performance information in the databases on the database server 2716, as distinguished by the different types of content being communicated on the data packet network 2702. It should be understood that if other types of content were communicated over the packet network 2702 and identified as a particular data type (e.g., video, music), network performance information indicative of the particular data type may be similarly collected and stored, accordingly. Because the network performance information is stored in a manner that distinguishes network performance and utilization for communication of real-time content and total content, the service provider, its partners, and customers may use the network performance information to manage network communications equipment, monitor network usage, generate reports, and provide billing based on real-time and non-real-time content communications over the network.
Collection of the network performance information may be directly or indirectly communicated from each individual network communications device on the network 2702 or from a table or other repository of a call control manager (e.g. CCM 1502 of
The databases 2717 stored in the database server 2716 may be organized in a variety of ways to enable the network performance information to be processed and used for a variety of functions, including billing, reporting, provisioning, generating alerts, managing network communications devices, or otherwise. TABLE IV, presented hereinabove, is an exemplary table of network performance information that may be stored in the databases 2717 in the database server 2716. It should be understood that other network performance information may be stored in the databases to provide additional visibility into the network performance at each node segment. Still yet, it should be understood that virtually any network performance information that can be collected by network communications devices may be collected and stored in the databases 2717 on the database server 2716.
The database may be further expanded to include statistical or other information derived from the network performance information or other database systems and/or database information. For example, trends, such as usage over a time period of an hour, a day, a week, a month, or a year may be stored in the database in association with each node segment or otherwise. For example, customer information, circuit IDs, or other may be stored. The network transmission information and statistics may be configured to accommodate any billing or post-processing operations. For example, if the principles of the present invention provide for charging customers differently for real-time bandwidth and non-real-time bandwidth usage, that information may be separately determined and stored in the databases 2717. The databases 2717 may include virtually any data structure to accommodate current cost, and pricing structures associated with real-time and non-real-time content usage. The current cost may be defined for consumer, commercial and/or wholesale subscribers or on a customer-by-customer basis, for example.
The database 2716 server may be configured to enable access to the network performance information stored in the databases to various entities, including, but not limited to, web entity 2718, user entity 2720, billing entity 2722, and operations entity 2724. Each of these entities may access the network performance information stored on the database server 2716 via a communications device, such as a personal computer, mainframe computer, wireless device, or otherwise. Another embodiment may include pushing portions of this data from the database to similar entities, paging/text terminals, and other alarming and alerting entities.
Web Entity
The web entity 2718 may utilize an Internet interface for displaying the network performance information, as well as customer billing plan information that distinguishes between real-time network performance information and non-real-time network performance information stored in the databases 2717 web interface.
Although the tables shown in the web browsers 2800a and 2800b show information associated with billing, it should be understood that other non-billing information may be displayed in a web interface. More specifically, in addition to the usage information, other information, such as service agreement terms, including quality of service, guaranteed bandwidth, base subscription fees, or any other terms or conditions between a carrier and customers, partners, other carriers, or other commercial or governmental entity may be stored and presented on the web interface. It should further be understood that the web interface may enable other, non-subscriber partners to access various information stored in the database. For example, a partner, such as a local service provider, or other communications carrier may have access to certain network performance information that the carrier who owns the network performance information may wish to share. For example, transmission connectivity of a network-to-network interface that communicates directly with the other carriers' network-to-network interface may be shared. A permissions database or table and associated security constructs, such as authentication, may be managed by the database server 2716 or other device that define the data that the communications carrier is willing to share with other carriers, customers, equipment manufacturers, or otherwise. The permissions table may provide different levels of information to different entities.
User Entity
The user entity 2720 may be a user of the communications carrier who manages the database. The user 2720 may access the network performance information stored in the database 2717 and also perform various other management operations on the databases 2717. For example, the user 2720 may generate additional tables, reconfigure the tables, design new database architectures, and so forth, so that network performance information may be expanded and provide customers, partners, vendors, etc., with different or more detailed information, for example. In addition, the user may generate different ways of managing the network performance information, such as generating statistics based on the modified Y.1731 counter bins, setting up thresholds to cause event messages for alerts to be created, setting up and initiating polls to network communications devices for various event-driven or non-event-driven reasons, and adding statistics processing for the network performance information to provide additional information to management of the communications carrier, customers, vendors, etc. It should be understood that the user 2720 may perform any other database management operation for which the user has proper administrative permissions to manage the real-time and non-real-time network performance information as understood in the art.
Billing Entity
The billing entity system 2722 may use programs for managing and preparing bills. The programs may include data collection programs 2734, billing programs 2736, and database programs 2738. These programs 2734-2738 may be executed by the processing unit 2726. The data collection programs 2734 may be configured to communicate with one or more network communications devices in a virtual call path. The communication with the network communications device(s) may transfer raw (e.g., uncompressed) data records between the network and/or end-devices and the billing entity system 2722. The communication transfer may be initiated by either the billing entity system 2722, considered as an “information pull,” or by network communications devices, considered an “information push.” The remote network device may contain storage to aggregate multiple records and programming logic to clear information from the device once the raw information transfer has occurred.
Billing programs 2736 may use the raw data records contained within a data packet (e.g., PIP data packet) and parse data fields, such as concatenated data fields, contained within the received data packets into individual raw data fields. Each individual raw data field may be utilized by the database programs 2738 for storage in a database.
The billing programs 2736 may further routinely process the database records. This processing may include consolidation of multiple raw data records into one or more processed records, summation of real-time and/or non-real-time raw data field information into totals and/or sub-totals over a time-window or session duration. These totals or sub-totals may include start and stop time of usage, summation of time of usage, total packets sent/received with and/or without error, statistical performance calculated values, and/or any other types of information that can be derived via processing raw data records of network performance information. Additionally, the billing programs 2736 may perform ratings, which are the monetization of billing records. Totaled or derived fields may be assessed against a set of business charging rules and a monetary charge amount may be established for each data record stored in the storage unit 2730 by the database programs 2738. The billing entity system 2722 may consolidate multiple rated billing records on a per customer basis. By consolidating the multiple rated billing records, additional calculation or rating function may provide specific business functions, such as discounting or otherwise.
Continuing, the billing entity 2722 may use the network performance information stored in the database to provide for billing plans for customers and other carriers to include billing for both real-time and non-real-time network usage. This additional resolution of billing (i.e., real-time usage billing) is a result of being able to determine packet communication of real-time content over the packet network by using performance information packets, for example. Consumers may be billed for real-time content usage, non-real-time content usage, and total usage of network communication capacity. The capacity may be a function of the bandwidth usage for real-time content and total packet communications over the network. In one embodiment, Erlangs, which is generally understood to be mean total traffic volume over a period of one hour or 3600 seconds (centum call seconds), may be used as a measure for the carrier to provide accurate billing for customers. The specific calculation of Erlang may vary to account for different network performance information being used to determine the number of Erlangs used during a billing cycle. In accordance with the principles of the present invention, the Erlang measure may be used to determine real-time, non-real-time, and total usage by a subscriber or other carrier by calculating total traffic volume of subscribers of other communications carriers communicating on the communication carrier's network in a roaming situation. In addition, because a communications carrier may monitor bandwidth and other network performance information for both real-time and non-real-time content communication, the communications carrier may add or offset a subscribers bill based on factors, such as transmission quality, connectivity, or rate or other network performance information and/or business purpose, such as a Service Level Agreement, that may be collected during a billing cycle. Such offset may also be utilized for other carriers' bills as well.
As an alternative or complement to using Erlangs as a standard of measure, the carrier may assign points or other units of measure to a subscriber for real-time usage and non-real-time usage. For example, a real-time usage minute may be worth three points and a non-real-time usage minute may be worth one point. The billing may indicate the number of points that the subscriber has used and charge the subscriber accordingly. For example, if the subscriber uses thirty minutes of real-time usage, which translates to ninety points, then that subscriber may be charged differently from a subscriber using thirty minutes of non-real-time minutes, which is only thirty points. Other creative ways of billing based on real-time usage resolution may also be utilized in accordance with the principles of the present invention. Furthermore, because the database of network performance information may include timestamps with collected usage information of a subscriber and other carriers, the billing entity 2722 (
The billing process may further use terms of a customer's plan to limit network usage for real-time and non-real-time communications. If, for example, a customer has a service agreement for two thousand minutes of real-time minutes, the performance data manager 2714 may monitor a customers real-time content minute usage, optionally as measured in terms of Erlangs or bytes of real-time traffic, and determine that a customer has exceeded the limit based on the customers usage plan. In response to the customer exceeding the usage minutes in his or her usage plan, the carrier may perform a number of different options, including (i) shutting off the users real-time content communications, (ii) allow the customer to continue using the network for real-time content communications, for example, but use a “best efforts” process or lowest available CODEC for allowing access to the network, where “best efforts” means that the user will receive a lower priority status, such as non-real-time data communications access priority, (iii) premium bill the client so that the client pays extra to continue having priority for real-time content communications, (iv) trade units, such as allowing the customer to use additional non-real-time units for real-time usage at a higher exchange rate (e.g., five non-real-time usage points for every minute of real-time content communications usage), (v) take an advancement towards next month's usage minutes, or (vi) any other plan that enables the user to continue with real-time usage or non-real-time usage over the usage plan limits. In one embodiment, a message may be sent to the customer to select an option for continued service above his or her service agreement limits. In another embodiment, a customer may “pre-pay” for real-time units, and be denied service once the units are used. In yet another embodiment, two carriers may make business and connectivity arrangements to inter-exchange database information to allow a subscriber to “roam” onto another provider's network and still have access.
The same, similar, or different billing arrangements may be utilized for determining billings for commercial entities, such as reciprocal billing between carriers based on the real-time bandwidth transmission from one carrier to another or on an aggregate basis, for example. When managing accounts with other carriers, trade units of usage, including real-time and non-real-time content usage, may be resolved at the end of a billing cycle. By having real-time and non-real-time content usage information, trading units can become “creative” such that the carriers may either better balance the usage of each others' networks or gain a business advantage by being able to (i) restrict another carriers' usage of the packet network or (ii) collect additional fees for providing additional real-time content usage or non-real-time content usage of the carriers network. It should be understood that many real-time and non-real-time content usage network performance information parameters may be utilized in determining billing arrangements with subscribers and billing and sharing level arrangements with other carriers having reciprocal billing arrangements.
Reciprocal Billing
Carriers typically have inter-carrier service agreements that enable communications from one carrier to be routed over a network of another carrier. These service agreements often have reciprocal billing arrangements whereby the amount of usage of a carrier's network is balanced or paid for at a certain time period against the usage of that carriers network by the other carrier. This enables the carriers to balance the service payments other carriers based on usage differentials. In accordance with the principles of the present invention, the carriers may include metrics or parameters that track both real-time and non-real-time content communications over each others respective networks. Adding resolution to identify real-time content usage may identify imbalances occurring between carriers (i.e., one carrier is communicating significantly higher real-time content over another carrier's network). The CCM or other monitoring device may recognize this imbalance and determine that communications to subscribers may be routed to the network of the carrier that has a high balance as a credit for communications routed over that carrier's network may exist. A decision may be made to route the communications, real-time or non-real-time content communications or both, over that carrier's network.
As another example of carrier level service being imbalanced, carrier service level agreements may specify a certain quality of service or transmission rate, possibly with real-time content and non-real-time content being separately specified. A carrier may monitor for these service level agreement parameters to determine if another carrier is meeting its obligations under the agreement. If the obligations under the agreement are not being met, then the service provider may receive credits toward additional free communications services. Routing decisions may be made in response to determining that these or other service level agreement parameters are not being met and credit is available.
Another example of routing decisions being made in response to tracking network performance information or of service level agreement information may include monitoring pricing by other carriers throughout times of the day that are scheduled or in response to a high demand occurring within that carrier's network. The other carrier may “advertise” pricing or other parameters, such as bandwidth availability at an NNI node, for example, to notify other subscribers of pricing changes, availability, transmission problems, etc. The CCM or performance manager 2714, in learning of price changes either upwards or downwards, of other carriers may make routing decisions based on those pricing changes. The decision may also include factoring current credit, cost to carrier, customer bandwidth requirements, or any other parameter associated with performing communication services at a certain transmission quality, and cost to the carrier. Routing “shopping” may be performed by collecting such “advertised” information during regular PIP packet communications or special rate collection requests to each carrier network-to-network interface or session border controller with which the carrier has a service level agreement.
Operations Entity
In addition to showing the usage information on a chart, alerts, trends, or other statistics may be presented on the GUI or via any other reporting method. Still yet, reports of the network performance information may be generated through the use of the stored network performance information stored in the databases 2717 and provide a user interface for selecting, sorting, tabulating, and any other function that can help a user generate current and historical reports, alerts, alarms, or any other information associated with or resulting from network performance information collected from a network
Provisioning Entity
The performance data manager may additionally use the network performance information that is collected from the packet network to provide provisioning functions. Provisioning may include a variety of functions, including (i) tracking path or element oversubscription rates and utilization prior to allowing network provisioning to occur, (i) managing network performance tracking by creating reports for newly created entities, (iii) dedicating or calculating failover, (iv) load balancing for re-routing of real-time or non-real-time content communications, (v) retrieving and presenting state information on network utilization and available resources to network managers in the form of reports and trend lines to determine where congestion is occurring, (vi) displaying locations where additional routers, gateways, or other network communications devices may be desired to alleviate congestion or provide safety valves for network communications devices that require higher bandwidth capacity during certain times of the day, or (vii) providing any other network management functionality based on the network performance information as described herein. In addition, the provisioning may enable automatic response to alerts or warnings that are detected by the performance data manager on a real-time or near real-time basis. For example, if an alert is created by a threshold for bandwidth capacity, the performance data manager may seek to re-route real-time or non-real-time content communications. Alternatively, if a spike in real-time content communications is occurring at a node that has non-real-time data being communicated at the same time, the performance data manager may notify the node to halt new provisioning or new communications sessions of the data packets including non-real-time content until the real-time content communications rate has decreased. The performance data manager 2714 may further be configured to direct one or more network nodes to change the bandwidth of a CODEC, close ports, send messages to other carriers to notify the other carrier of an overload or over-usage condition coming from their network or perform any other provisioning function through the use of monitoring the network performance information, as provided.
The performance data manager 2714 may be configured to automatically detect a problem within the network and issue one or more tests, such as a trace route, to be performed on an end-to-end basis. For example, in
Modified Trace Route
Network performance information collected for real-time content and non-real-time content communications may provide an indication that there is a performance problem existing at a node segment within a packet network. A call end-point, CCM, or node within the packet network may determine that a problem exists based on the PIP performance information and automatically trigger a path trace route in the PIP packet flow. Given that higher protocol stacks can move or otherwise alter a packet transmission path without consulting the CCM, this function facilitates identifying nodes and segments being traversed at the time the trouble is encountered. It should be understood that aside from a statically configured PIP data stream for embedded network equipment, that PIP sessions may be constructed in an ad hoc basis for use on packet devices not normally associated with that network. In the ad hoc PIP case, the user end-point creates a PIP session from and to a point inside the network provider's network or to the far end-point to provide the real-time bandwidth and PM data function. An ad hoc PIP packet flow may be set up with each call from end-point-to-end-point or, alternatively, to an anchor point in the serving network provider's network. Once the PIP and PM stack detect a performance threshold crossing, a trace route may be initiated to identify the location within the path that is having a problem. A network node element may store the trace information and make the trace information available directly to the CCM and/or user. Additionally, the trace information may be communicated to the call control protocol stacks to be passed back to the CCM or EMS for troubleshooting. Other information may be stored with the trace information, such as time, date, session information and so on. The troubleshooting procedure may be performed to isolate the node segment having a problem with either or both real-time and non-real-time content being communicated through the node segment. The CCM or node may initiate a modified trace route to communicate one or more data packets, such as PIP packets to or through the node segment of concern to collect network performance information through that node segment that may be having a transmission problem. The network performance information generated from the trace route, which may last for one or more PIP packets being communicated over a long enough duration to determine the network performance information at the node segment of concern. If the node segment is a node segment located at the edge of another network or type of network (e.g., network-to-network interface) then network performance information collected at the other node in the other network may be communicated back to the CCM or originating node with network performance information specifically related to the modified trace route. Other “carrier specific sensitive” network performance information of the other network may otherwise be prevented from being accessed by the other network. It should be understood that ad hock PIP packet flows may also be associated with encrypted path protocols and presence protocols that establish remote network connectivity, such as PPP, SLIP, and/or other remote agents.
The collected network performance information may enable not only messages and alerts to be sent to operations management of the network but also notify customers, partners, affiliates, and other network carriers of problems, congestion, or other situations or events of the network. For example, if a determination that real-time content communications usage is high, a notice may be sent to subscribers and other carriers of the situation and notification of increased billing rates. Similarly, if a determination is made of high amounts of communications to other carriers, the carrier may elect to “shop” communications to destinations via other, lower priced carriers. The carrier may have thresholds for many terms and conditions of subscribers and partner carriers and automatically, semi-automatically, or manually make provisioning changes based on determining that a threshold has been crossed based on the collected network performance information.
The network layer 3106 provides for (i) switching and routing, and (ii) creating logical paths, known as virtual circuits, for transmitting data from node to node within a packet network. The transport layer 3108 provides transparent transfer of data between end systems, or hosts, and is responsible for end-to-end error recovery and flow control. One example of a network protocol is Internet Protocol (IP). An example of a transport layer protocol is Transmission Control Protocol (TCP). The session layer 3110 establishes, manages, and terminates connections between applications. The session layer 3110 sets up, coordinates, and terminates conversations, exchanges, and dialogues between the applications at each end of a network path. The session layer 3110 further manages session and connection coordination. The presentation layer 3112 provides independence from differences in data representation (e.g., encryption) by translating from application to network format, and vice versa. The presentation layer 3112 transforms data into the form that the application layer 3114 can accept. Such presentation layer 3112 typically includes text, voice, and video compression. The application layer 3114 also supports application and end-user processes. Some examples of application layer 3114 applications include email and file transfer applications. Each layer interacts directly with the layer immediately beneath it and provides facilities for use by the layer above it. In addition, the protocols on each layer enable entities to communicate with other entities on the same layer.
The OSI reference model described in
In one embodiment of the present invention, real-time transmission performance information acquired in the Data Link Layer 3104 is communicated into one or more of Physical Layer 3102, Network Layer 3106, Transport Layer 3108, Session Layer 3110, Presentation Layer 3112, and Application Layer 3114. In another embodiment, the real-time transmission performance information acquired in the Data Link Layer 3104 may be communicated into other Data Link Layer protocols, such as ATM, MPLS, Frame Relay, or other protocols. This real-time transmission performance information may be used to provide real-time notification of the ETH Layer 3232. This real-time transmission performance information may also be used to complement existing protocols and capabilities to provide quicker response time to network changes identified to ETH Layer 3232.
Data Link Layer 3104 from and to Physical Layer 3102.
In one embodiment, real-time transmission performance information acquired in the Data Link Layer 3104 may be communicated to the Physical Layer 3102. In one embodiment, the degradation of a copper-based link due to induced noise or any other source of impairment, delay, or loss of data could limit the quantity of information that can be carried error-free across the link. The transmission performance information carried in the PIP packet is capable of identifying this degradation. This degradation may be reported to the Physical Layer 3102, where a protocol operating on the Physical Layer 3102 realizes the degradation and modifies the route to optimize throughput and overcome the impairment, such as rerouting the link to an alternative physical copper link or a reduction in the number of Quadrature Amplitude Modulation (QAM) windows or change to another transmission schema all together.
Data Link Layer 3104 from and to Data Link Layer 3104.
In one embodiment, the above degradation may be communicated to the Data Link Layer 3104, where the multiplexed protocols of the Data Link Layer 3104, operating in parallel with the Ethernet due to physical layer multiplexing and protocol isolation, realize the degradation and modify their operation to overcome the impairment by conducting an MPLS Fast Re-Route.
Data Link Layer 3104 from and to Network Layer 3106.
In one embodiment, the above degradation may be communicated to the Network Layer 3106, which could alter network traffic routing to reroute packets around the degrading link. This reroute may involve moving the session from one network operator to another network operator. It should be understood that the principles of the present invention may be utilized with any Network Layer (Layer 3) 3106 protocol, including IPv4, IPv6, or otherwise. It should further be understood that the principles of the present invention may be utilized with any protocol operating on any other layer.
Data Link Layer 3104 from and to Transport Layer 3108.
In one embodiment, the above degradation may be communicated as round trip delay and other parameters to the Transport Layer 3108, where the TCP Sliding window function may be dynamically altered to modify the window size, thereby reducing the amount of subsequent retransmitted packets and avoiding congestion. In such an embodiment, such communication allows the adjustment of the window size sooner than current implementations.
Data Link Layer 3104 from and to Session Layer 3110.
In one embodiment, the above degradation may be communicated to the Session Layer 3110, where the session management functions could modify schedulers, shapers, or any network element function that provides and contains the Quality of Service (QoS) parameters, thereby dynamically adjusting the quantity of packets in a session. The effect of dynamically adjusting the quantity of packets in the session is that congestion points should experience relief as the quantity of packets flowing into a network node or element is reduced.
Data Link Layer 3104 from and to Presentation Layer 3112.
In one embodiment, the above degradation may be communicated to the Presentation Layer 3112, where the presentation protocol could dynamically control a video codec forcing a repeat of the last video frame or reducing frame quality, frame resolution, frame size, frame rate or otherwise.
Data Link Layer 3104 from and to Application Layer 3114.
In one embodiment, the above degradation may be communicated to the Application Layer 3114, where notification is generated and communicated to a user indicating that the network is experiencing congestion and to be patient until the congestion clears, try the communication later, or try to re-connect using different connection parameters. For example, if a user is engaged in online gaming, the application layer may notify the gamer that the network is slow and to wait before engaging in a fierce battle to avoid the network not having enough bandwidth to facilitate the online action. In another embodiment, the application layer 3114 may determine that the user is a low priority and cut or kill the network connection to the gamer or user.
Other uses of data packets including being passed between the Data Link Layer 3104 and Application Layer 3114 may include communications control to manage multiple real-time sessions when the user exceeds available communications resources. Functions, such as presenting the user with usage statistics of network performance information real-time content (e.g., real-time usage or bandwidth) versus total bandwidth, session usage of real-time bandwidth, and the ability to selectively choose CODEC's and session types, such as video phone versus a voice-only communications modes, are enabled utilizing the principles of the present invention. Load balancing of real-time traffic when multiple paths are available may also become user selection modes.
Layers to MEs.
In another embodiment, and continuing with
Further, the Metro Ethernet Network Nodes (see
Physical Layer 3234 from and to ETH Layer 3232.
In one embodiment, and continuing with
In another embodiment, a “route flapping” degradation by the Network Layer 3106 may be reported from and to the ETH Layer 3232. “Route Flapping” is a common term to describe the recalculation of route tables within an network element typically due to a link having marginal connectivity; i.e., conditions are such that the link may “flap” and be momentarily considered out of service, then naturally recovering and being placed back in service by a network element. This route flapping may occur many times over a time interval. Each time the network element is restored, a route table re-calculation may be requested by the Network Layer 3106 routing protocol. A network element could include the PIP PM information in the appropriate ME domains, thereby allowing other NEs the ability to react to the degradation prior to link failure and assess real-time stability prior to restoring the link. A potential reaction could be to identify an alternative network operator or network segment, thereby routing around the portion of the network that is “flapping.” Secondarily, threshold information could be communicated to a network of another carrier to allow the other network to react to the degradation prior to the outage becoming more severe.
TCP Sliding Window
Transport Layer 3108 to and from ETH Layer 3232.
In one embodiment, a reduction in a “TCP Sliding Window” contained within the Transport Layer 3108 may be reported to the MEs. This reduction would signal to the ETH Layer 3232 that congestion is occurring somewhere within a virtual circuit over which PIP packets are being communicated. The congestion may be in the subscriber's network, where a network operator would not otherwise have visibility. In this embodiment, the TCP/IP sliding window field is modified in real-time, regardless of any network technologies, thus providing quicker TCP/IP sliding window response to performance issues.
The sliding window field within the TCP/IP protocol is modified to reflect performance changes occurring in the network. This modification may occur at any network node anywhere within a communication path. The TCP sliding window field modification may be accomplished by rewriting the specific TCP sliding window field within the TCP/IP packet as it traverses through a network node.
Session Layer 3110 to and from ETH Layer 3232.
In one embodiment, a change in session connection quality by the Session Layer 3110 to the ETH Layer 3232 may be reported. The Session Layer 3110 may notify the ETH layer 3232 that a QoS parameter, has been modified thereby dynamically adjusting the quantity of packets in the session. A network operator or Ethernet provider may use the QoS information to manage other EVCs within an MEG, including Connection Admission Control (CAC).
Presentation Layer 3112 to and from ETH PIP Flow on Layer 3232.
In another embodiment, a CODEC buffer management algorithm within the Presentation Layer 3112 may communicate to the ETH Layer 3232. Here, a notification may signal that video CODEC buffers have multiple underflow events resulting in repeats of the last B-frame in an MPEG-4 video, for example. Underflow events are indicative of lost or delayed packets. The ETH layer 3232 may use this underflow information to by-pass the degraded segment by choosing an alternate path.
Application Layer 3114 to and from ETH Layer 3232.
In another embodiment, a user program within the Application Layer 3114 could signal to the ETH Layer 3232 that the “Network is Slow.” The complaint may be reacted to by the ETH layer 3232, whereby dynamic identification of a degraded segment and an attempt to modify the session path to circumvent the degradation may be performed.
In another embodiment, instead of directly modifying fields within existing protocols traversing through a network element at any layer in the OSI reference model, an alternative may include establishing a Vector Performance Table (VPT) within the network element. This VPT may be created and managed as part of a network element operating system and embedded system programming.
In
The table size of the VPTs 3402 may be a function of the quantity of memory allocated, the types and quantities of network performance information captured. The network performance information may include link number 3414, real-time and total bandwidth usage, packet loss 3416, latency 3418, jitter 3420, delay 3422, real-time application data, non-real time application data, total data, and the Δt or time stamp 3412 between successive samples. Also, “stitched” network performance information (i.e., network performance information from other network elements) for each NE could be included in the VPT 3402. In one, the VPT 3402 could be dynamically sized to accommodate the data.
An exemplary logical structure of the payload portion of the PIP packet is described in
This VPT information may be used locally via new protocols operating outside the PIP packet or with modifications to existing protocols to allow the use of VPT information. As described above, in one embodiment, rather than directly writing specific network performance information into other OSI Layer protocols, the network performance information may be made available via the VPT 3402. Each OSI Layer's protocols may reference any network performance information to make enhanced operations decisions.
The VPT 3402 enhances current data flows by capturing not only current data flows, but also providing historical captures over defined time windows that are nΔ samples deep. The additional samples can enable predictive functions, which can be used to improve the reliability and availability of the session or user experience, perform network maintenance, provision new network hardware or media, design new network configurations, or enhance inter-network communications.
The VPTs 3402 (
Once the network performance information is gathered at the VPCE 4102, the network performance information may be processed to provide an encompassing performance management view of one or more networks based on input from each NE. This centralized network performance information store may be used in a variety means such as, but not limited to, Service Level Agreement (SLA) validation, near real-time NE management, predictive network management, and other functions.
Customizable algorithms and calculations that use the current and historical network performance information may be developed and included as part of the embedded programming of the operating system of the VPCE 4102. VPCE 4120 may include memory 4108, one or more processors 4110, which may include cell processors having two or more processors on a single chip, one or more databases 4112, and one or more I/O ports 4114. The algorithms and calculations may be performed using these computing resources contained within the VPCE 4102. Information processed within the VPCE 4102 could be made available to other network systems (not shown), such as a multimedia Call Control Manager (CCM) or other network management systems using the I/O ports.
In addition, the VPCE 4102 may use the data contained in the VPTs 4104 as historical logs for determining when the performance of a certain link 3414 in a network experience failure or deterioration due to congestion or other technical problem. The information contained in the PIP packets may contain the historical data rate performance as discussed herein showing the network nodes and links and based on data contained in a particular VPT 4104, such as timestamp 3412, determinations can be made that a particular node or link suffers technical problems, such as congestion during specific times of the day. The VPCE may also determine the gapping between calls based on this historical network performance information contained in individual or multiple VPTs 3402.
In one embodiment, the VPCE 4102 correlated information is used to create a near real-time exemplary Graphical User Interface (GUI) 4202 as illustrated in
In yet another embodiment, one or more links 4204 may further include indicia representative of the quantity or percentage of real-time application packet flow versus non-real-time packet flow.
In another embodiment, information exchange between the ETH Layer 3232 to and from and the OSI layers 3102, 3106-3114 may manifest itself in open and closed loop interactions. Open and close loop systems are well defined in Modem Control Theory text books. In summary, in an open loop, information is exchanged without a feedback loop to track a response to the information. In the closed loop manifestation, feedback loops are present, thereby providing dynamic control of the response to the information. The principles of the present invention can use either open or closed loop manifestations.
Network Layer through Application Layer, 3106b-3114b and 3106c-3114c, may not exist in some types of NEs, such as Ethernet Switches. In other cases, such as with routers, some additional layers above the Data Link Layer 3104b and 3104c may exist. It is the existence of these layers above the Data Link Layer 3104b and 3104c where some embodiments of the present invention take place. The Physical Layer 3102a-3102n generally exists in each NE and is included in the embodiments of the present invention.
Bi-directional MEs 4304 and 4306 exist and operate in the OSI reference model Data Link Layer 3104a-3104n. An end-to-end user communication path may be defined by each of 3114a, 3112a, 3110a, 3108a, 3106a, 3104a, 3102a, 3102b, 3104b, 3104b, 3102b, 3102c, 3104c, 3104c, 3102c, 3102n, 3104n, 3106n, 3108n, 3110n, 3112n, and 3114n. Within NE 4302b and 4302c, information flows up from the Physical Layer to the Data Link Layer and then back down from the Data Link Layer to the Physical Layer as it is processed by each NE. The information flow can either be full duplex (bi-directional paths operating independently from each other at the same time) or simplex (operating in one direction at a time, but in both directions) or uni-directional (operating in one direction only).
The additional DSL network performance information improves repair resolution time, as network problems at a subscriber may be quickly identified. The DSL network performance information allows full monitoring and troubleshooting through a single network management system. In addition, dynamic configuration changes based on network performance may be made by the Network Management System 4508 to optimize circuit performance. For instance, if a DSL circuit 4502 suddenly experienced a peak or spike in impulse noise on the non-Ethernet segment, appropriate diagnostic information may be inserted into the Ethernet management stream and adjustments may be temporarily made by the network management system 4508 to the DSL Signal-to-Noise ratio to compensate for the interference and to ensure line stability. After a given timeframe or due to improving changes in captured performance data, the line could be re-provisioned by the management system to improve overall performance. This example is one of dozens of possible configuration changes that may be made in real-time to optimize DSL circuit performance.
Other exemplary network performance information parameters that may be captured and inserted into the management stream include: near-end failures, far-end failures, last state transmitted (downstream and upstream), actual signal-to-noise ratio, maximum attainable data rate, actual power spectrum density, actual aggregate transmit power, xDSL profile, xDSL limit PSD mask and band-plan, xDSL Power Spectral Density mask, estimated upstream power back-off electrical loop length, trellis code use, actual cyclic extension, band number, line attenuation per band, signal attenuation per band, signal-to-noise ratio margin per band, actual data rate (downstream and upstream), previous data rate (downstream and upstream), actual interleave delay (downstream and upstream), actual impulse noise protection, impulse noise protection report, actual size of Reed-Solomon codeword, actual number of Reed-Solomon redundancy bytes, actual number of bits per second, actual interleaving depth, actual interleaving block depth, actual latency path, interval number, interval status (valid and complete; invalid or incomplete), forward error correction seconds, errored seconds-line, severely errored seconds-line, loss of signal seconds-line, unavailable seconds-line, full initializations, failed full initializations, short initializations, failed short initializations, sync mode, or other capabilities identified in xDSL (e.g., ADSL1, ADSL2, ADSL2+, VDSL2, etc.).
Specifically, the T1.413 Standard defines methods to dynamically adapt the DSL transport stream, the subject matter of which is hereby incorporated by reference. These dynamic adaptations are described in the T1.413 standard under the sub-section “On-line adaptation and reconfiguration using the Overhead Control Channel (AOC)”. In this sub-section the standard defines that the AOC data is carried as overhead bytes in the DSL framing structure. The actual multiplexing of these overhead bytes into the DSL framing structure depends on the framing structure used (i.e., full overhead or reduced overhead) and on the allocation of any bearer channel to the fast or interleaved data buffer.
The type and length of an AOC message (except for the acknowledge messages) are identified by a byte-length header. In particular, the AOC channel sends an all binary zeros “00000000” AOC stuffing pattern in the Idle State, and a valid AOC message always begins with a non-zero byte.
The T1.413 Standard further defines “On-line adaptation—Bit swapping.” Bit swapping enables a DSL system to change the number of bits assigned to a sub-carrier or change the transmit energy of a sub-carrier without interrupting data flow. An ATU (DSL Termination Unit) may initiate a bit swap. The swapping procedures in the upstream and downstream channels may be independent and may be performed simultaneously. For the bit swap protocol, the “receiver” is the ATU that is receiving the data; it transmits a bit swap (extended or simple) request message and receives the bit swap acknowledge message. The “transmitter” is the ATU that is transmitting the data. It receives a bit swap request (extended or simple) message and transmits the bit swap acknowledge message.
Bit Swap Request Commands.
DSL information or other network performance information may be used to dynamically alter some performance parameters of the Physical Link, such as transmit power. A sub-process may be established in the DSL unit which would monitor PIP packets and then issue the proper AOC Bit Swapping commands (see
The network performance information indicative of a problem at a wireless access point may be appended to the end of the payload of PIP packets. This appending may happen at the wireless routers 4704 and 4708. The PIP packets containing the wireless performance information 4710 would be available to the Network management System, which, in turn, may instruct the wireless device 4702 and the wireless access point 4704 to disconnect and reconnect the wireless device 4702 via wireless access point 4708, in one embodiment. This disconnection can override other wireless connectivity parameters, such as signal strength. Alternatively, the NMS 4712 could instruct the wireless devices to switch to a different channel. Other similar variations are also possible to re-route or re-channel the wireless device 4702.
One example of re-routing may be as follows. If the NMS system 4712 determines that connectivity to ISP #24516b may provide better performance than ISP #14516a, traffic would be dynamically rerouted to ISP #24516b based on rules, thresholds, etc., that the NMS 4712 could apply to network performance information collected at either or both of the ISPs 4516a and 4516b. Other exemplary variables include: wireless channel, encryption level, and connectivity mode (802.11a, 802.11b, 802.11g, 802.11n, WiMax, etc.). The NMS system 4712 may constantly monitor the network performance information data flows throughout the wireless network 4700 and evaluates traffic and paths based on the network performance information contained in the PIP packets. In response to determining that one or more node segments are underperforming, calls may be rerouted. The NMS system 4712 may evaluate the line state at and between each the connection points within the wireless network 4700. In one embodiment, the NMS system 4712 may evaluate the core network including trunk segments, in addition to evaluating the wireless access points 4704 and 4708. The NMS system 4712 may retest connections on a periodic basis, such as every 10 seconds or 10 milliseconds, for example.
Although shown as a portable computer, the wireless devices 4702 may alternatively be a phone, PDA, and/or any wireless device that may use the wireless network 4700 to communicate. Although two wireless access points 4704 and 4708 are shown, any number of wireless access points may be used with the NMS system 4712 and wireless network 4700.
Further, any number of wireless networks 4700 may be used for evaluating and routing wireless calls. For example, NMS system 4702 determines that a particular wireless network is having difficulty carrying calls due to congestion or other technical problem, then the NMS system 4702 may switch or route its calls to another wireless network. In addition, if the NMS system 4702 determines that a particular signal strength from a wireless device to a wireless access point is weak or becomes weaker due to any number of factors, including due to the user increasing distance between himself and the access node, then the NMS system 4702 may change one or more communications parameters, including encoding, modulation, frequency, and the like to improve or increase the signal strength between the user and the access node. Changing communication parameter(s) could be done automatically or manually via a button on the user's wireless device that initiates a request for determining why the signal strength is degrading or decreasing, and, in accordance with the principles disclosed herein, the information derived from the PIP packet may be used to determine these or other solutions to improving the signal or increasing the signal strength. In yet another embodiment, the NMS system 4702 may troubleshoot the networks automatically without any user initiation on a periodic basis to report back on the status of these wireless connections.
Network Layer Example.
The Network Layer 3106 may determine how data is transferred between network devices, route packets according to unique network device addresses, and provide flow and congestion control to prevent network resource depletion. For purposes of this invention, routing protocols are defined as the protocols used in the implementation of routing algorithms to facilitate the exchange of routing information between networks. This exchange of routing information allows NEs defined as routers on the Network Layer 3106 to build routing tables on a dynamic basis.
In one embodiment, the principles of the present invention provides for the injection of dynamic link state information obtained from PIP packets into routing algorithms. In
In essence, real-time network performance information, such as link failure, link degradation, MEF TRAN failure, Label Switch Path (LSP) ping, trace-route, Virtual Circuit Connection Verification, Bi-Directional Forward Detection, MPLS Fast Reroute, and other similar capabilities may be dynamically inserted into Link State routing protocols, thereby forcing recalculation of the route tables, calculation of optimal route paths, and potential Link State Advertisement (LSA) re-advertisement. LSAs are processes to update neighbor nodes in the event of a Link State change. The LSA process typically creates a short message (i.e., the link-state advertisement) which: 1) identifies the node which originates the LSA; 2) identifies all the other nodes to which it is directly connected; or 3) includes a sequence number, which increases every time the source node makes up a new version of the message. This message is then communicated throughout the network. In one embodiment, the link-state message is communicated to all other network nodes on the network. Typically, each node in the network is responsible for storing the sequence number of the last link-state message which it received from other nodes. Once the LSA process completes, each node uses this information in calculations for an optimal routing path to other nodes on the network. This information may be included as routing metric information by Network Layer routing algorithms.
Currently, many common implementations of routing protocols, such as OSPF, establish a link cost to be proportional to the inverse of the link bandwidth. A use of the ME information may be to modify the link cost to represent a larger value; hence, the cost rises and the use of the link is less likely. Once congestion clears in the ME, the link cost could be reestablished to reflect the normal setting.
Real-time dynamic link information can significantly enhance link state packet routing protocols. The dynamic link state injection into packet routing protocols may offer the capability to: 1) sample the quality of the physical connection and proactively react to failing conditions, 2) assess changing traffic flows over the connection at regular intervals providing per flow traffic rerouting to accommodate optimal performance, 3) proactively react to degradation conditions affecting the circuit such as creating alternative paths and rerouting traffic prior to circuit failure, 4) load balancing traffic flows over multiple circuits to accommodate circuits that are operating at less than optimal conditions, 5) improve route re-convergence times, 6) eliminate some route ‘flapping’ conditions and 7) other similar types of route enhancing capabilities.
In a packet network an intermediate node that identifies network degradation, delay, congestion, and the like, may capture PIP packet information, which may include event data, and propagate the information to other NEs using PIP packets. At the same time, the intermediate node may also inject this information into the ACK packet flowing from the receiver to the sender. After getting this information, the sender may change the window size and follow up with other appropriate action.
Those data packets that may be flowing in the reverse direction, the window size modification information can also be passed to the receiver to take appropriate action. In one aspect, the information contained in PIP packet may be stored externally to the OSI stack or injected into a Transport Layer 3108 device and be stored as a line-state to effect the change of the TCP window size. The NEs may have the lower Transport Layer 3108 protocols, and if not, then another downstream NE that has the ability may be responsible for this action.
At each end of the TCP connection, buffers may be used to manage the data flow. This management may be in a form of flow control and uses the TCP Sliding Window 5002 to perform this flow control. In the TCP Sliding Window function, a window is defined as the maximum number of unacknowledged bytes that are allowed in any one transmission sequence. The receiver of a packet flow specifies the current receive TCP Sliding Window 5002 in every packet sent to the originator. The sender may send up to the amount of specified in the TCP Sliding Window 5002 before it has to wait for an update on the TCP Sliding Window 5002 (from the receiver). It should be understood that the TCP function may be modified to send a PIP parameter modified window and time-out settings to the far-end during the initiation of the TCP session itself and/or query PIP information stores contained on the end-points.
That the sender network node buffers its own sent data until it receives acknowledgements (ACKs) for the sent data. The TCP Sliding Window 5002 size is typically determined by whatever is the smallest between the Receive Window and the sender's buffer. The TCP Sliding Window 5002 field indicates the range of acceptable sequence numbers, beyond the last segment, that has been received successfully. This value is the allowed number of octets that the sender of the ACK is willing to accept before an acknowledgement. As the TCP process performs the transmission of a segment of data, it places a copy of the data in a retransmission queue and starts a timer. If an ACK is not received for that segment, or a part of that segment, before the timer runs out, then the segment, or the part of the segment that was not acknowledged, is retransmitted. This embodiment directly modifies values contained in the TCP Sliding Window 5002 or other portion of TCP Packet 5000 as it traverses through a NE with Layer 4 capabilities.
Within TCP packet 5000, individual code bits flags are identified as fields “U,” “A,” “P,” “R,” “S,” and “F” are used to indicate the nature of the header in relationship to the protocol conversation. For example, such fields include U—Urgent Pointer (URG) 5004, A—Acknowledgement (ACK) 5006, and P—Push function 5008. Push function 5008 causes the TCP sender to push all unsent data to the receiver rather than sending segments when it gets around to them, (e.g., when the buffer is full). Additional fields typically found in a TCP packet 5000 include: R—Reset the connection (RST) 5010, S—Synchronize sequence numbers (SYN) 5012, and F—End of data (FIN) 5014.
Also within TCP packet 5000 are three other fields that may be directly modified to assist in the shaping of the traffic flow between sender and receiver. The first field is the Window field that indicates the range of acceptable sequence numbers beyond the last segment that has been received successfully. A value of the window field represents the allowed number of octets that the sender of the ACK is willing to accept before an acknowledgment. The second field is the Urgent Pointer 5016 that shows the end of the urgent data so that interrupted data streams can continue. When the URG bit 5016 is set, the data is given priority over other data streams. The last field is the Options 5018 that may contain a TCP Maximum Segment Size (MSS) and is sometimes called Maximum Window Size or Send Maximum Segment Size (SMSS).
In one embodiment, the NE 4302b-4302c supports a protocol stack through the OSI Transport Layer 3108. In addition, a NE 4302b-4302c supporting this embodiment may contain a set of embedded programming instructions that would react to the ME performance information, establish which fields in the TCP packet would be modified, modify the field values, and send the packet out of the egress interface. Modifications could be made to packets traversing in any direction (sender to receiver, receiver to sender, or both).
In another embodiment, the OAM information obtained from the Data Link Layer 3102 and contained in a PIP packet is used in other types of protocols, such as the User Datagram Protocol (UDP). Since UDP does not use a window or acknowledge packet receipts like TCP/IP, there is no control on the sending rate. Nevertheless, the rate may be controlled by setting limits on the maximum bandwidth allowed between sites used in other applications and protocols, such as File Transfer Protocol, Database Storage, and Voice over Internet Protocol (VOIP). Once the network problem is detected, the Data Link Layer 3102 information, derived from the PIP packet, may be injected into Transport Layer 3108 to make the source control the bandwidth. The fault identification process may be refreshed at certain intervals so as to get the current status. Once the fault goes away, this indication may be injected into the Transport Layer 3108 data so that the appropriate NE can take the necessary action and the original transmission rate can resume.
In another embodiment, the information contained in the PIP packets may be communicated to the protocol stacks contained with Network Layer 3106 devices, such as routers, to convey that there may be the potential for collapse due to congestion. This congestion avoidance may be achieved by packet queuing and/or packet dropping techniques to slow down excessive UDP traffic. Further, Datagram Congestion Control Protocol (DCCP) may be used to add end host TCP-related congestion control behavior to high-rate UDP streams, such as streaming media.
Further to the discussion above to
In step 5402, the capability of the network element to process layer 4 information is determined. In step 5404, the PIP ME performance and utilization information is captured and sent to the layer 4 embedded programming process in step 5408. In these steps, a QoS or traffic problem may be identified at a Data Link Layer 3104 node. Also, in step 5408, the sender may receive the ACK packet from the receiver. The fault information may be injected from Data Link Layer 3104 to Transport Layer 3108. This may include embedding this information in the TCP ACK packet. In step 5408, the nearest NE with Transport Layer 3108 may also be identified. In step 5416, the sender receives the ACK with fault information. In step 5410, the embedded program determines if the PIP performance information indicates a performance degradation. If so, then for each TCP packet received at the ingress of the NE at step 5412, a determination is made at step 5414 to determine if the TCP state is established. If in an opening state or closing state, then the NE may do nothing. If the TCP state is in an established state, then the current window size is viewed and determined if it is at zero (0). If it is at zero, then the TCP inherent flow control mechanisms may have already taken care of the congestion problem. If the window size is non-zero then the TCP window size 5418 is reduced and the packet is sent out the egress 5420. In step 5418, the sender may make additional appropriate changes in the TCP window size, such as increasing the window size.
In addition to the embodiments above,
The packet network 5502 may support Data Link Layer 3102 or Network Layer 3106 network facilitating Data Link Layer 3102 tunnels or any other packet network that supports Data Link Layer 3102 tunneling, such as Asynchronous Transfer Mode (“ATM”). In another embodiment of the present advanced fail-over method, LAN switches are used to interconnect multiple LANs.
Some common switching technologies used with the present network traffic shaping system 5500 include store-and-forward switching and cut-through switching. Typically, store-and-forward switching waits for an entire frame, or encapsulated packet(s), to be received before forwarding. In cut-through switching, the switch begins forwarding the frame when enough of the frame is received to make a forwarding decision. It should be understood that the BRAS function is a universal edge shaping function that can be distributed throughout the network. The shaping function is normally statically set to a circuit performance level, which shapes and discards traffic to meet a specific performance parameter regardless of what is occurring downstream in the network.
In addition, the network traffic shaping system 5500 may operate with common bridges including transparent bridging as found in Ethernet environments, source-route bridging as commonly found in Token Ring environments, and source-route transparent bridging as commonly found in mixed Ethernet/Token Ring environments.
The BRAS 5504 in the instant shaping example, is typically the gateway between the Internet and DLSAMs in the network accessed by DSLAM customers. The BRAS 5504 or shaping entity may contain a MEP. The MEP may track performance or it may obtain network performance information of the customer and node or trunk levels from somewhere within the OSI stack. In one embodiment, the BRAS 5504 can use the transmission path state information by detecting transmission Frame Loss via PM information contained within the PIP packets. The PIP session(s) can be both trunk level to a network node, such as a DSLAM or to a customer level. In both cases the trunk or line state PM engine detects that transmitted packets passing beyond the shapers are being dropped in the packet network 5502 or aggregation device going to the DSLAM 5506, the DSL modems, or customer CPE. In one embodiment, the PIP PM state communicates transmission loss to the traffic shaping mechanisms, a reaction to the transmission path congestion or degradation and can further limit the transmission rates to alleviate the congestion by modifying (lowering) the shaper windows. In one example, transmission loss causes the network to slowly begin dropping these packets in the packet network and the shapers react by performing one or more shaping or scheduling functions through the BRAS 5504 to stop the packets from being dropped in the packet network. It is understood as the packet transmission rate increases or frame loss rate decreases that the shaping and scheduling functions should gracefully increase the through-put window, thereby returning the circuit state to its normal condition. As a result of these functions, the packets are dropped before entering the packet network, thus not tying up bandwidth with packets that are ultimately dropped within the packet network 5502.
In one embodiment, the BRAS 5504 is used to shape DSL traffic of each user 5510 by using end-to-end signaling outside of TCP flow control to adjust the bursting to eliminate congestion. In one embodiment, the IP protocol flows anticipate lost packets and enables dropping these packets prior to them being dropped in an internal network thereby eliminating congestion control and reducing network burst traffic, which increases the amount of capacity required by the network.
In one aspect, a CPE, such as DSLAM 5506, receives network performance information, via PIP packets, that a percentage of the packets that were sent by the BRAS 5504 did not get delivered to the DSLAM 5506. In one embodiment, the modified Y.1731 protocol PM stack is used to transmit the receive PM information performance data from the DSLAM 5506 to the BRAS 5504. The protocol performs algorithms to determine the number of dropped packets not received by the DSLAM 5506. Thus, the DSLAM 5506 contains a Y.1731 stack that correlates this information. There are three general ways in which this data is transmitted to the BRAS 5504, a trigger, a push, and a pull, as commonly known to those skilled in the art. It should be understood that to accommodate the “forward” shaping at the edge of the network a PIP PM data must be returned to the shaping entity from the far end. The relay of the PM information from MEP to MEP is understood to occur at the node trunk level, node port level, Customer NID device, and Customer CPE to obtain each subsequent level of shaping.
The BRAS 5504 performs one or more of several functions to “self-heal” the packet network 5502. For example, the BRAS 5504 can decrease the data transfer rate to each user 5510 from the Internet 5508 to the packet network 5502, thus causing the packets to be dropped prior to entering the packet network 5502 and avoiding the packets later being dropped in the packet network. The BRAS 5504 provides for real-time dynamic network traffic shaping based on session flow performance of the far-end based on the performance data included in a received packet. Thus, if a CPE, such as the DSLAM 5506, is communicating through the PIP packets that packets are being dropped in the packet network 5502, the BRAS 5504 relieves the congestion on the packet network by decreasing, via filter 5512, session flow performance of the users 5510 at the BRAS 5504 prior to the session flow entering the packet network 5502.
The foregoing exemplary BRAS operation reduces provisioning complexity by adding a “self-healing” traffic shaping mechanism to the network Internet service point. The present network traffic shaping system also enables a “plug-and-play” traffic adjustment scheme in that a user may change the network and the BRAS and/or other network elements will dynamically learn the available transport capacity and adjust accordingly without being manually configured.
In one embodiment, the network traffic shaping system 5500 includes a nodal mass calling shaping congestion control function for shaping the rate of data traffic through a network based on PIP and PM packet information. The network traffic shaping system may enforce a queue or traffic shaping for an entire access node 5516 or group of traffic in an access node 5516. Using the same principles as discussed above, all traffic from an access node may be placed into a virtual packet circuit (IP, Mac Address, VLAN, LSP, etc.) and built into a scheduler so the overall traffic 5520 may be shaped. Without knowing what is in the middle of the packet network 5502, the traffic shaping system 5500 can track the packets received at the access node 5516 and use that data at the BRAS 5504 to rate shape the entire group 5522 of customers 5510. This rate shaping preserves the cross-utilization of bandwidth between the customers 5510 on access node 5524 and minimizes the packet loss due to bursting and mass calling events that might occur in the network.
In one aspect, the traffic shaping function performed by the network traffic shaping system 5500 may be based on cutting the non-real time data flows versus the real-time data flows. In another aspect, the traffic shaping function performed by the network traffic shaping system 5500 may be based on QoS requirements and obligations to determine which data flows to drop and which data flows to keep transmitting. In yet another aspect, the traffic shaping function performed by the network traffic shaping system 5500 can also look at the (i) DIFFSERV protocol marking, (ii) recipient's IP address, and (iii) trunk from which data is being received to determine what flows to shape or drop altogether.
Generally, the present network traffic shaping system 5500 maps everything to a Media Access Control (MAC) address, an Ethernet virtual circuit, a PPPOE tunnel, a PPPOA tunnel or other similar structures. These locations are considered the egress points. Some or all of the following criteria may be used to determine how data is to be rate shaped. As discussed above, the present network traffic shaping system 5500 can determine what port the data came from. For example, a determination can be made as to whether the port is an Internet data port or a VOIP data port. In one aspect, the present network traffic shaping system 5500 may determine to drop the traffic coming from one port or shape one port to another port. In a second way, the present network traffic shaping system 5500 may have two virtual circuits going down to the CPE or DSLAM 5506, so it may shape one of them versus the other. In a third way, the present network traffic shaping system 5500 may have a large bandwidth going down to the CPE or DSLAM 5506, but it may use a priority bit marking in the packets to choose which traffic to shape or drop. In a fourth way, the present network traffic shaping system 5500 may determine the type of packet that is sent through the packet network 5502. For example, if the packet is a real-time VOIP packet and another packet is a FTP packet, then it may decide to drop the FTP packet and transmit the VOIP packet. In yet another example, the present network traffic shaping system 5500 may determine that a particular user 5510 has a multiple of IP addresses for a particular customer 5510 and decide to not transmit for a period of time on one of those IP addresses.
In step 5708, if the Y.1731 type packet loss threshold has not been exceeded, then the present network traffic shaping system 5500 queries whether the maximum threshold has been reached in step 5714. If the maximum threshold has been reached, then the present network traffic shaping system 5500 continues at step 5706, where PIP packet data is collected from the CPE or DSLAM 5506 at the BRAS. In step 5716, the present network traffic shaping system 5500 queries whether the bandwidth set-up threshold is met. If the set-up threshold has been met, then the network traffic shaping system 5500 incrementally increases bandwidth shaping at step 5718, as described above.
In another embodiment, an Application-Specific Integrated Circuits (ASIC) directs packet data flow and PIP packets based on their real-time and non-real-time content.
The Data Link Layer device 5804 includes one or more incoming network interface or module 5812a-5812n (collectively 5812) and one or more outgoing network interface or module 5814a-5814n (collectively 5814). The network interfaces 5812 and 5814 may be capable of handling packet based and other suitable digital signals associated with voice, video, and data transmissions of a packet switched network. In addition, the Data Link Layer device 5804 may also include switching unit controllers, processors, memory, and buses interconnecting them, as known in the art. The network interfaces 5812 and 5814 may also be capable of communicating with other network interfaces, single or multiple, such as T1 interfaces, E1 interfaces, Integrated Services Digital Network (ISDN) interfaces, SS7 interfaces, Optical Carrier level-3 (OC-3) interfaces, other optical interfaces, any other types of interfaces, or combinations of these interfaces.
The ASIC 5802 may also include one or more incoming lines 5816a and 5816b (collectively 5816) and one or more outgoing lines 5818a and 5818b (collectively 5818) that may in communication with other devices of the packet network. The ASIC 5802 may also be connected directly to these lines 5816 and 5818 or may be connected via a bus of a suitable type, such as control, synchronization, power, isolation, serial, and the like. In one embodiment, the ASIC 5802 may receive uni-directional, bi-directional, or other serial data streams incoming from the incoming network module 5812. Moving in the opposite direction, the ASIC 5802 may transmit separated or stored real-time data flows and non-real-time data flows through outgoing network modules 3212.
In one embodiment, ASIC 5802 may also contain a processor(s) 5806 memory 5808, such as ROM, RAM, EEPROM, Flash, and the like, and coded logic or software 5810 for performing the operations described herein. Memory 5808 may store registers, such as sampling registers and static registers based on the type of data flow through the ASIC 5802.
In one embodiment, the one of the two outgoing data path lines 5818a and 5818b is used for transmitting real-time data flow and the other for non-real-time data flow. Once the two data flows are separated at the ASIC, they can each be transmitted to their respective lines 5818a or 5818b for measuring in accordance with the principles of the present invention.
In one embodiment, the ASIC 5802 creates “sampling” shift registers with QoS or other mapping/replication functions. In one aspect, the sampling shift registers measure the “buckets” or total volume or amount of either real-time data content or non-real-time content through a Data Link Layer device 5804 or other network device. The ASIC 5802 may measure the total volume, as opposed to bit transfer rate, of a particular data flow that includes either real-time or non-real-time content. For example, the ASIC 5802 may measure an interval of traffic from one of these data flows and then measure another interval of traffic in a “round-robin” manner. A static register allocates a bucket per stream, bucket per flow, bucket per logical connection, bucket per port, and/or bucket per device. Further, the ASIC 5802 may contain a scheduler modification to provide actual scheduler performance information on what flows are being served at what rates. Also, it may include a “settable counter trigger” that counts when a packet has a specific TOS, QoS, or other marking. Externally, the ASIC 5802 may create a “line state” dongle or inline probe that measures, via any method, and generates the PIP packet information in both directions for real-time and total bandwidth with other peakedness measures. The term “peakedness” means within-the-hour or moment-to-moment variations in traffic.
Further, the coded logic or software 5810 of the ASIC 5802 may determine packets that contain real-time data content from those that contain non-real-time data content based on the port or device that transmitted the packet to the ASIC 5802, the payload of the packet, the p-bit of the packet, header information of the packet, or by any other means commonly known to those skilled in the art and/or described herein. Further, the ASIC 5802 may store the TOS, QoS, or other service information related to a particular customer or user associated with the packet or flow of packets.
In addition, the ASIC 5802 may characterize the “peakedness” or burst in real-time. The real-time data may be characterized as a “state,” thus making it useful for mathematical calculations and algorithms to determine the amount of real-time data content transmitted.
The system and methods of the illustrative embodiments allow bandwidth allocation, resource management, and troubleshooting across Ethernet or communications domains. Network performance information about the line state of the Ethernet network may be used in conjunction with or to adjust Connection Admission Control (CAC) policies and devices in real-time such that bandwidth and services across Ethernet domains are controlled. The network performance information may also be used to isolate nodes that are failing or sources of trouble in order to make network corrections. The changes, adjustments, fixes, work-arounds that may be implemented are available across communications domains elements with different operators and equipment in a carrier grade Ethernet network. Various access nodes, such as Broadband Remote Access Servers (BRAS), Broadband Digital Loop Carriers (BBDLC), Cable Modem Termination Systems (CMTS), or routers and switches, may use the illustrative methods to manage services and/or bandwidths by tracking both the shared network-side trunk state and the individual subscriber-side line states as a state repository for the network systems.
Ethernet is a network protocol and local area network (LAN) technology used for sending and receiving data packets across the Ethernet network 6100. CAC engines 6108, 6110, 6112, and 6114 control and adjust the connection bandwidth in order to accommodate the necessary communication stream. CAC engines 6108, 6110, 6112, and 6114 may be hardware and/or software elements or process performed thereby to take actions during connection initiation or re-allocation for strategically controlling congestion. Frequently, the CAC engines 6108, 6110, 6112, and 6114 may be used to determine whether or not to allow a new connection, throttle bandwidth, or to load balance across the Ethernet network 6100. The CAC engines 6108, 6110, 6112, and 6114 may communicate messages, alerts, alarms, commands, data, and other information with one another. In one embodiment the CAC engines may contain transmission path state real-time bandwidth and other PM information. The CAC policy engine may include a threshold trigger based upon the PM information or the CAC engine may dynamically change over-subscription rules for the bandwidth reservation portion of the CAC engine. These new states and state triggers are equivalent to CAC engine states that may be polled or otherwise interacted with by EMS systems and other protocols. In another embodiment, a connection may be accepted only if sufficient resources are available to establish the connection end-to-end with its required quality of service. For example, in one embodiment, for a new connection to be accepted, the contractual quality of service of existing connections and customers served by the network may not be adversely affected by the new connection.
In some cases, CAC engine 6108 may be used to control CAC engine 6114. Provisionally, the CAC engines may be applicable to a port or a transmission path. Each CAC engine 6108, 6110, 6112, and 6114 may specify permissions and authorizations for how and when it may be accessed. The permissions may include authentications, passwords, and identifications so that each CAC engine 6108, 6110, 6112, and 6114 does not have unlimited access to each of the other CAC engines 6108, 6110, 6112, and 6114. For example, if CAC engine 6114 receives a bandwidth throttling request from CAC engine 6108, the CAC engine 6114 may ensure that the CAC engine 6108 is part of an authentication list of devices, nodes, EVCs, and elements with permission to adjust bandwidth for CAC engine 6114.
The data stream 6116 may include video, data, voice, or other multimedia packet streams. Each of the packet streams 6118, 6120, 6122 and 6124 may represent separate Ethernet virtual connections that send and receive packets through the data stream 6116. The CAC engines may control the packets being placed on the data stream 6116 or being taken off the data stream 6116 and sent to a user or customer.
The Ethernet domains 6202 and 6204 represent Ethernet networks controlled by separate operators that have maintenance end-points 6206, 6208, 6210, and 6212 as defined by the IEEE 802.1AG standards. The maintenance end-points 6206 and 6208 are in the first Ethernet domain 6202 and the maintenance end-points 6210 and 6212 are in the Ethernet domain 6204. In an illustrative embodiment of the present invention, information that traverses the entire network between maintenance end-points 6206 and 6212 may be available at every end-point and intermediate point that is connected between maintenance end-points 6206 and 6212. For instance, maintenance intermediate end-point 6216 may have information from itself as well as maintenance intermediate end-points 6214, 6218, 6220, and 6222 and maintenance end-points 6206, 6208, 6210, and 6212. The information may describe the total packet rate or real-time data packet rate, average packet rates, packet rates for the streams from access node users and any other statistics related to the communications capability and health of the network. The network performance information may be contained in the Ethernet layer 2 real-time packet flows.
The user packet stream 6310 is controlled by the CAC engine 6306 allowing data to be sent and received between the customer 6311 and the data stream 6302 as determined by the network performance information 6308 and the policies established by the operator of the communications network via the CAC engine policy modification based on the Performance information 6308.
In one embodiment, the access node 6304 may include a network cache that stores information, such as movies, songs, games, and other data, that may be accessed by the CAC engine 6306 and delivered to the data stream 6302 for immediate use by other network users. The network cache may also store network performance information for historical use and subsequent reference. For example, if a node within the network has repeatedly had problems, the historical data may be used to link the problem to certain events, parameters, or factors. The CAC engine 6306 may determine the adequacy of the data stream 6302 to be able to accommodate the current movie or other data packets requested by a user on the network. In addition the CAC engine 6306 may determine if the data information requested was legitimately requested and authorized as set by previously determined network policies.
As the network performance information 6408 is passed through each access node 6402, 6404, and 6406 in the packet flow 6400, additional information is added by each access node 6402, 6404, and 6406. It is understood that each network segment and path may have a PIP performance and utilization PM flow and measure. For example, as shown, initial network performance information 6408 may be a single PIP packet. Later, as the network performance information reaches the access node 6404, additional network performance information 6410 may be added. The network performance information 6410 may be combined into a single PIP packet or multiple PIP packets may be used. At access node 6406, the PIP packet includes network performance information 6408, 6410, and 6412. Information may be added for any number of access nodes despite the limited examples shown.
As a result, the PIP packets are passed from and to or through each of the access nodes, devices, and other elements of a network communication system. Thus, at any given access node the network performance information for each prior node may be easily ascertained and analyzed as needed. Similar information on the performance of the network may also be available in like manner from a PIP packet flow 6400 going the other direction because PIP packets may flow in both directions in the network. Alternatively, network performance information may be obtained from or utilized in a central database, EMS server, NOC, CCM or other central resource in communication with a CAC engine or access node.
The network performance information which may include numbers and statistics may be part of a table or matrix that describes the network in terms of packet count, packet delay, packet loss for the total, real-time, and/or non-real-time flows, total real-time, and non-real-time bandwidth, effective packet rate, jitter, latency, out-of-order packets, quality of service, carrier identification, or other parameters 6500 that describes the important characteristics of the end-to-end network. The different numbers, values, and measurements may be used to calculate in the overall quality of the network by viewing these numbers singularly at each access node or collectively as a network packet loss statistic or other parameter. The network performance information may be collected over time to provide an average time-bound network value.
In another instance, numbers, such as the provisioned and or available packet bandwidth rate (pn) and the real-time bandwidth packet rate in use (mn), may be used to provide a measure to individual CAC engines that may indicate that access to the network should be accepted or declined. For instance, if the network performance value: (pn−mn) is positive, it may indicate that there is capacity on the network for the access node packet stream number n. If the value (pn−mn) is negative or zero, it may indicate that the CAC engine declines the packet stream from access node n.
In another instance, individual network values such as the real-time bandwidth packet rate (kn) may be averaged over the network to provide a real-time average network packet rate such as: ((k1+k2+kn)/n). The real-time average may be used to provide a real-time use statistic to an overall monitoring center that may automatically, or through operator assistance, admit or reject additional packet streams through the CAC engines. For example, the real-time average may be used to reject additional packet streams requesting to join a certain program event that is oversubscribed at the server. As a result, additional users may be rejected. It should be understood that packet rate can be bandwidth in use, packet counts, or a combination of both.
In another embodiment, a remote server, such as a “video on demand” server, may be dedicated to providing video files for any number of customers. In response to a CAC engine receiving network performance information, via, for example, PIP packets, for node segments associated with the remote server indicative of the real-time bandwidth and other performance information, such as packet loss or congestion, are used to obtain a utilization performance measure in relation to the assumed usage and oversubscription rates or other performance issues associated with receiving content from such remote server. The CAC engine may throttle the allocation of bandwidth to devices requesting content thereby modifying the bandwidth that may be accessible by each customer, IP address, or other element. Such CAC engine may be located at an IP service or access broadband node gateway point used by the remote server or at access points used by CPEs to access content from such remote server over a packet network. For example, CAC engines with the appropriate permissions may be used to throttle the bandwidth of the remote server or to specify priorities. For example, a CAC engine in a remote location may be used to specify that a first CAC engine or a specific network device of high priority may have unlimited bandwidth access to the remote server, but all other CAC engines, CPEs, or specific network devices may only have a designated percentage of available bandwidth.
The process begins by gathering network performance information regarding line and trunk transmission performance and utilization states (step 6602) and/or other network performance information. The network performance information may include performance numbers, data, utilization information, or statistical information calculated therefrom regarding real-time and non-real-time data passing through the data stream of the communications network. The network performance information may be gathered using a PIP packets and PM collection points that has been updated as it reaches each access node within a network, such as an Ethernet network. The network performance and utilization information gathered in step 6602 may also be stored for subsequent analysis.
Next, the CAC engine controls the network resources (step 6604) in response to received network performance and utilization information. The network resources are controlled based on the performance information particularly for dynamic resource allocation, diagnosis, and troubleshooting. For example, if a node, device, link, access point, or other node segment is encountering problems, the VOD session controller redirects the CAC engine as it may reroute the IP Service point traffic around the node experiencing problems via addressing, or server name response. The CAC engine may also perform load balancing between different CAC engines. For example, a single customer may be connected to the communications network through different CAC engines. Based on traffic between the customer through the different streams, load balancing may be performed so that bandwidth is more efficiently utilized across the CAC engines. The same types of balancing is commonly performed using current protocols and applications, such as Bit Torrent. These conventional protocols were designed to acquire portions of content, such as a movie from multiple sources, concurrently. These protocols by-pass the rate limiting effect imposed by egress rate shaping functions at VOD or content servers. These protocols can have significant affect on the performance of the aggregate path. PIP packets can detect the impacts of the use of these types of parallel protocols and be used to invoke any of the traffic management functionality described in accordance with the principles of the present invention.
For purposes of this example, load balancing may refer to a throttling of bandwidth by two or more VOD servers responding to CAC engines and/or the routing of traffic or sessions by two or more VOD servers responding to CAC engines transmission path utilization and performance state information to even out traffic that is directed at two or more access points to a network. Thus, a customer network may access a larger packet network such as the Internet, through connections associated with network access points. The bandwidth of data passing through each network access point may be controlled by one or more CAC engines working in concert basing load balancing on the transmission state information for the paths under the governance of reach CAC engine. To balance the amount of traffic through each of the network access points, one or more CAC engines may cause traffic intended for one of such network access points that is approaching full load or a overloaded state to be rerouted or redirected to another network access point that is not experiencing as much traffic. The one or more network access points may be access points to the same network, such as the Internet, or may alternatively access different packet networks. However, even if such network access points are egresses from a customer network into two different packet networks, both of such packet networks may eventually allow a connection to an IP address or other network address located outside of the customer network. For example, one of the network access points may allow egress into a first network that contains the IP address to which a data communication is addressed, while the other network access point may allow egress to a second network that is then connected to a third network, that is, in turn, connected to the first network including the IP address to which a communication is addressed. In such a manner, even if network access points and associated CAC managers are not connected to the same external network, both such network access points may allow egress of a data packet in a manner that allows the data packet to eventually be communicated to the target IP address.
Although the foregoing is described generally with respect to rerouting of traffic and the distribution of new sessions based on actual performance and utilization information of the transmission paths the system intelligently distributes the bandwidth across two or more network access points by one or more CAC managers, it should be understood that more complicated schemes of load balancing can be utilized that involve algorithms associated with bandwidth reservation and allocation, the throttling of bandwidth, the rerouting of traffic to alternative network access points, known connection paths to an IP address located outside of the network through one or more network access points, or any combination of the foregoing. In yet another embodiment, load balancing may include a determination of particular application data included in packets intended to be communicated through network access points such that such load balancing may be accomplished not only with respect to traffic generally, but with respect to traffic associated with a particular application or class of applications. For example, the most readily apparent example of the need for such specific load balancing may be with regard to the load balancing of real-time session packets associated with applications that perform real-time or near real-time content communications. The handling of real-time packets may cause more network performance issues than the handling of non-real-time packets as a result of the need to minimize latency and jitter associated with such real-time packets. In this case, the goal of the CAC function is to balance the load of real-time traffic across multiple network paths to optimize network performance. It should be understood that other real-time flows may exist in the egress trunk of which the CAC engine may not have knowledge. In order to balance the real-time traffic, the performance and utilization state information may be present in or accessible to the CAC engine. Thus, complex load balancing schemes that take into account real-time data packets and non-real-time data packets in balancing the two categories of data packets across one or more network access points by CAC managers that take into account network performance information regarding external networks and the connection paths available therein may greatly enhance the user experience associated with applications using real-time content and offer a unique way to respond to performance issues identified from network performance information in order to address such issues and enhance the general performance of the network.
In one embodiment, a CAC engine may manage one or more additional CAC engines within the network or in a secondary network in response to received network performance information. For example, a CAC engine may control bandwidth usage in an interconnected network. For example, the network performance information or instructions to a CAC engine located in another network may be carried or “piggybacked” from a first network to a second network via, for example, PIP packets for allowing a secondary CAC engine to control a CAC engine in the first network.
In one embodiment, the CAC engine may throttle sessions or restrict the amount of allocated bandwidth (for a smaller codec) based on the amount of bandwidth available for a customer to access a network (step 6606) in response to received network performance information. Bandwidth requests may be granted, throttled, and bandwidth reserved and allocated based on external or internal factors that are affecting the communications network. For example, bandwidth may be throttled based on interference through a CAC engine that relies on a wireless transmission point. The bandwidth through the CAC engine may be throttled to accommodate the available connection speeds and limiting factors of the wireless transmission point.
A CAC engine reserves and allocates bandwidth for customers at a network access point. For example, the customer may have a service level agreement or quality of service requirement specifying certain parameters and resources for which the customer is paying. For example, the customer may have reserved 10 megabits/second for real-time streaming video. If the bandwidth of real-time data packets dedicated for the customer is running at 12 megabits/second, the CAC engine may throttle or adjust the customer stream so that only 10 megabits/second is provided to the customer. As a result, bandwidth may become available to other customers that are paying more for increased bandwidth or a guarantee that bandwidth will be available from the communication service provider at any time. Some service level agreements and quality of service provisions allow for refunds or discounts if available rates or bandwidth levels drop below specified thresholds as provided to the customer by the communication network service provider.
In another embodiment, the additional 2 megabits/second of bandwidth may be allocated on a “best efforts” or similar non-guaranteed basis. As a result, if bandwidth is available, the customer may be provided the entire 12 megabits/second, otherwise the customer is provided only the 10 megabits/second that are guaranteed the customer. In another embodiment, the customer may be provided the entire 12 megabits/second and is charged a premium rate for the data overage. The customer may also be billed for the amount of time that the bandwidth used exceeds 10 megabits/second. The updates may be sent from the CAC engine to a billing database. The customer service level agreement may specify different rates, charges, guarantees, quality of service, or service level agreements for both real-time and non-real-time content.
The network performance and utilization information located in the CAC engine may also be used to enforce usage limitations, or track customer bandwidth to identify an IP address that is monopolizing or overusing resources. Once the customer or IP address found to be a over-using resources has been located via threshold mechanisms set on the line performance and utilization state information for that line, by the CAC engine or other network process or device, the CAC engine may throttle sessions, shut down or alter shaping windows for that customer flow, or send a message to session controllers or customer GUI interfaces to provide a usage warning message, or otherwise limit the customer's access to the network in order to preserve bandwidth and bandwidth availability across the network or meet business objectives. For example, a student in a dorm that is streaming too much real-time data for a movie may have their real-time bandwidth limited to provide bandwidth for other students or customers.
In another example, the bandwidth percentages or rates available to a customer may be increased in step 6606 in response to received network performance information. The bandwidth available for customers across the Ethernet network may be dynamically adjusted based on service level agreements, guarantees, performance representations, type of packets, performance indicators, and other parameters or factors. The bandwidth may be adjusted for access nodes, customers, devices, software applications, and IP addresses. In many cases, the throttling of step 6606 is performed based on the type of data, including real-time and non-real-time data. For example, a customer may have desired rates and percentages of dedicated bandwidth for real-time and non real-time data packets. In many cases, real-time Voice over Internet Protocol (VoIP) may be considered a higher priority than regular Internet traffic. Step 6606 may also shift bandwidth and network traffic for load balancing between access nodes for better network performance.
Throttling requests and other configuration and maintenance changes implemented by a CAC engine may be implemented by inserting commands or other data in the PIP packet. By inserting the changes to be made in the PIP packet, the CAC engine may perform the changes in-band and does not need access to an out-of-band communication connection in order to implement the desired allocation and reservation. Alternatively, allocation and reservation changes made by a CAC engine may occur out-of-band using an alternative communication line or medium.
The PIP packets may also include data for load balancing between CAC engines, access nodes, and other communications elements. The network performance information, control signal communication, and/or PIP packets may also be sent to access nodes, CAC engines, a network operation center using enhanced messaging service (EMS) or other messaging protocols. The PIP packets may also specify real-time thresholds, percentages, and parameters that may be used to regulate the communications network. The PIP packets may add reservation and allocation information that regulates the control process by customer, identification, IP address, or program application. For example, a PIP packet may specify that a CAC engine is to dedicate five percent of available bandwidth to real-time data from IP address 128.063.254.
The process begins in step 6702 by gathering network performance information regarding line state. Step 6702 may be performed as previously described in step 6602 of
The access node determines whether there is an access node experiencing failure in step 6706. The determination may be made based on the comparison of the network performance information to thresholds in step 6704. If there is not an access node experiencing failure, the process terminates. If there is an access node experiencing failure in step 6706, the access nodes corrects the failure for the access node in step 6708 with the process terminating thereafter. In one example, if a problem or failure is detected in step 6706, the problem may be corrected manually or automatically by a network control center. For example, if there is a failure, the access point may send a correction message, alert, or alarm to the network control center so that the failing or problem node may be fixed with a software patch, reboot, maintenance order, replacement, or work-around.
The network corrections may occur in any number of ways based on the parameters, designated preferences, rules, and policies. The corrections may be temporary or permanent fixes. The solution to the failure may not always be easily fixed. In one embodiment, the failure may be corrected by sending a notification to other networks that are dependent on the network. In another embodiment, the traffic may be rerouted through different CAC engines, access nodes, or networks in order to correct network issues.
In another embodiment, the network correction may involve rerouting data through different CAC engines, networks, and access nodes. The data may be rerouted to preserve quality of service and performance of the network. The CAC engine may also request or generate trace information for the failing access node. The CAC engine may also request that the failing access node or surrounding access nodes or device provide additional information. The additional information may supplement the data provided by the PIP packet to diagnose and remedy the problem. The CAC engine may also ping the network access nodes to determine how data and information is flowing within the network and whether each access node is available. For example, a number of access nodes may be systematically pinged by the CAC engine to determine which nodes are still responsive.
The CAC engine may broadcast a message out to other access nodes, a NOC, EMS system, CCM, or other network device or process that identifies the failing access node and the associated problem. The message may specifically indicate the failing node, network performance information for the failing node, and a network solution, remedy, or work-around, if applicable. The message may be sent specifically to a network operation center, performance log or table, or a rule based engine that may use network topology to select or provide solutions for the problem. The rule-based engine may also be used to select the next step taken address the problem, such as send a text message to a network administrator.
The network performance information may be archived or stored. The historical data may be used to reserve and allocate bandwidth changes. The historical data may be used to implement different control and algorithm changes based on an analysis of the historical data. For example, the historical data may reflect particular network performance issues that occur at specific times of day or in response to specific events. Such specific network performance issues can then be addressed by changing the throttling, reservation, and allocation scheme of particular CAC managers associated with particular network access points during such times or prior to such events. Thus, a CAC manager may respond to reservation requests associated with a particular network access point during particular times of the day with the allocation of bandwidth to requesting IP addresses that is less than the allocation that is made at other times of day. For example, a CAC engine may respond to bandwidth reservation requests by allocating only 50% of the bandwidth requested in such an allocation request.
Such historical data may also be used to implement particular load balancing algorithms between different network access points using one or more CAC managers. For example, if a particular network access point receives a number of requests for bandwidth allocation associated with real-time data packets for an application using real-time content, such as a video conferencing application, allocations associated with such real-time applications may be directed alternatively to a different network access point based on the particular load balancing algorithm. Thus, historical data related to network performance information can be stored by CAC manager and utilized to change bandwidth throttling, reservation, and allocation algorithms that take into account the level of granularity of network performance information obtained by such CAC manager.
In one embodiment, the CAC manager may completely block reservation requests received that are associated with particular IP addresses, applications, or network protocols. In yet another embodiment, a CAC manager may receive network performance information associated with enhanced levels of jitter experienced in the external network, and in response thereto, may limit requests to reserve bandwidth that are associated with a SIP protocol or itself request that a particular network device located at a particular IP address utilize a lower rate codec than may have previously requested before allocating bandwidth in response to such bandwidth reservation requests.
As previously discussed, one CAC engine may communicate with one or more CAC engines located elsewhere within a customer network or even within an external network. The historical data may, therefore, also be used to request or command that alternative throttling, reservation, and allocation algorithms or instructions be utilized by other CAC managers. For example, corrections for different nodes, devices, or elements of the communications network may be made to avoid disrupting as few customers and network traffic as possible.
In one embodiment, the CAC engine may access a table of network performance information that is stored within the engine or that is stored remotely within the network or within another communications network. The CAC engine may access data within the table to identify the problem for troubleshooting purposes.
In one embodiment, network performance information that is obtained using PIP packets, from any of the tables disclosed herein, or any other manner, may be utilized to change the way in which future network performance information is gathered, collected, or analyzed. For example, if an analysis of network performance information reveals a problem in a particular network or portion of a network then the frequency at which PIP packets are sent through that portion of the network may be increased. Alternatively, the level of network performance information collected by such PIP packets may be increased such that more data and more types of data are collected by PIP packets as they are routed through that network or portion of the network. In yet another embodiment, the normal routing of PIP packets through a network may be changed to avoid a severed communication link obtain more information about a particular portion of the network encountering problems, or to send instructions to such portion of the network to cause such portion or the notes therein to collect additional information, run diagnostic routines, otherwise troubleshoot the problem, or implement changes in the ways that network devices within such portion of the network are configured or operate. For example, a particular network node such as a switch may be instructed to begin particular congestion control behavior, reroute traffic, or any other appropriate solution or work-around to a particular problem identified by network performance information.
In one embodiment, a network device may be instructed by information within a PIP packet to reboot itself, refresh a routing table, increase the amount of data buffered within such network device, or otherwise begin, change, or terminate any process or operation within such network device. In one embodiment, the control regimen for managing PIP packet flow may be changed entirely in response to a change in network performance information. For example, a network or portion of the network over which PIP packets were being sent every five seconds may be increased in frequency to every one second or tenth of a second to collect more information about a particular network performance problem.
Alternatively, in an embodiment that does not include the use of PIP packets, each network node may be instructed to update its own internal table or update a table of network performance information used as an essential resource by one or more networks on a more frequent basis or with increasing levels of detail of network performance information. In another embodiment, when PIP packets or other updates regarding network performance information were previously generated only in response to events or triggers or requests received from another network device, such network node may instead be instructed to generate such PIP packets or other updates on a routine basis until a problem has been resolved. All the foregoing may be implemented at any time in response to a trigger, or may alternatively be scheduled at a particular time based on an instruction. Similarly, the entire PIP packet system and/or system of updates regarding network performance information may revert back to a normal mode of operation after a network performance problem has been resolved, if a period of time has elapsed, or it receives additional instructions from a central network resource or other network noted device.
As a result of the foregoing or as the result of other events not described above, the payload of PIP packets may be altered. For example, the PIP packet may be instructed to obtain network performance information at a node that was previously a pass-through node from which network performance information was not obtained. In another embodiment, PIP packets may include a payload of specific instructions to a network device at a particular network node to change the operation of such network node. In yet another embodiment, a PIP packet that was originally instructed only to obtain network performance information with regard to latency, packet loss, and jitter, may instead be instructed to obtain a full description of all network performance information that is available, alternative network performance information, or some level of network performance information between full network performance information and the limited amount of network performance information it would normally receive.
The use of injecting instructions into a PIP packet allows the use of PIP packets as much more than a simple reporting system of network performance information. Instead, it allows an inband system for sending instructions, initiating processes, or otherwise configuring the parameters or operation of a network. Although not expressly described herein, the foregoing schemes to modify PIP packets or other methods of reporting network performance information may be directed through a network outside of the packet network (such as LAN) generating the PIP packets or otherwise seeking to obtain network performance information. For example, if a particular network is experiencing delays, packet loss, or jitter in a large number of data packets that originate from a particular outside network, the network can increase the number of PIP packets that are sent to such outside network in order to obtain network performance information from such network or may request that such outside network generate more of its own PIP packets directed to such network from such outside network. In such a manner, the network may ascertain specific performance problems in the outside network, and if necessary, reroute calls or other data communications through other networks instead of such outside network.
In one embodiment, network performance information may be utilized by a processor to determine the best gateway, access point, network-to-network interface, or other network egress point for a particular data packet or session of data packets. For example, if a particular network has five different egress points to an outside network, such as a PSTN, such five egress points represent five different ways in which a VoIP call or other communication may be routed in order to access such PSTN or other outside network. Within the network itself, there may be five network connection paths between a customer access point making a VoIP call connection request and each of such egress points. Thus, there may be twenty-five different routes in which a VoIP call may be connected from the customer access points through the network in order to communicate with the PSTN or other outside network. An EMS system, inter-network system, CCM, router, or other network device may utilize network performance information to determine which of such twenty-five potential connections paths will offer the best quality of service for the customer attempting to connect the VoIP. Such network device may also consider which of the twenty-five connection paths least negatively affects the performance of the remainder of such network.
Such decision may be made in response to known information about network performance outside of the network within the PSTN. For example, if one of the egress points is known to be in a portion of the PSTN experiencing significant performance issues, the five potential connections associated with such point of egress may be avoided. Likewise, if ten out of the twenty-five potential connection paths go through a common core switch within the network that is experiencing problems, those ten options can likewise be discarded.
Each of the twenty-five potential network connection paths between a customer's access point and the PSTN may be rated, graded, or otherwise compared to determine the best possible connection path for either customer quality service and/or general network performance. For example, the present application discloses different ways to rate particular node segments of a network by assigning a particular rating to them. Different ratings can be assigned to each node segment based on different criteria such as latency, jitter, packet loss, percentage of real-time traffic, real-time bandwidth, or any other parameter. Thus, each node segment may have different grades or ratings in different areas.
Using the one or more grades or ratings for each of the node segments, many different algorithms may be used to calculate the best overall path between the customer's access point to the network and the PSTN or other outside network. For example, ratings associated with jitter could be given one weighting factor and averaged across all node segments located between the customer's network access point and the PSTN, which may, in turn, be added to another weighted factor with respect to latency that represents the average latency grade across each of the node segments between the customers network access point and the PSTN. In another embodiment, connection paths between the network access point and the PSTN may be examined to determine the highest or lowest rating that has been given to any node segment located in such path which such highest or lowest rating being then assigned to the entire path.
In some cases, actual measurements may be utilized to determine whether or not to use a path. For example, the average jitter experienced by a real-time application packet passing through a particular node segment may be added to such averaged jitter of each of the other node segments located along such connection path to given overall average jitter that may be experienced by a real-time application communicating packets along such path. Similarly, the overall latency of a path can be calculated. The overall rating of the twenty-five possible connection paths may be compared to each other either in aggregate or based on different factors and otherwise weighted, filtered, or analyzed, to determine the best possible connection path for the customer's quality of service and/or the general performance of the network. Some algorithms may weight the effect on overall network performances being more important than the customers quality of service as long as, for example, a particular minimum quality of service is reached. Algorithms may also take into account the guarantees or service level agreements that the network provider may have with a particular customer such that the network provider may meet its commitments to the customer and does not have to pay to the customer any service level credits, penalties, damages, or expenses.
In one embodiment of the present invention, network performance information associated with a particular network that has been collected using PIP packets, retrievals from tables of network performance information, or any other means of obtaining network performance information may be utilized by a particular application being executed by a client of such network. In such an embodiment, information from a table or a PIP packet may be communicated into the particular application using the application's protocol, an injection from another OSI layer into the application layer, an XML interface, or any other suitable means. Such application may then have instructions that execute in response to receiving particular network performance information.
For example, an application may be a network computer game wherein the gamer is looking for the best possible connection with the least amount of latency and packet loss that is available between the gamer's client and a remote server hosting the on-line game. The application may obtain network performance information in order to itself calculate such best connection or instead query a central network resource, such as a VPCE described earlier, to respond with the best network connection possible. In one embodiment, an application may display network performance information to a user of a client. In another embodiment, an application may cause an instruction to be injected into a PIP packet or similar packet to obtain specific network performance information from a remote network or node segment or to cause changes in a remote network or node segment to enhance the user's experience of a particular application.
In one embodiment, an application may affirmatively monitor network performance information in order to determine a better network connection than the connection it is currently using and switch to such better connection as soon as it is detected. Alternatively, a PIP packet or other instruction may be sent to a particular application in response to network performance issues believed to be caused by such application in order to reduce the amount of bandwidth utilized by such application, change the operation of such application, terminate such application, restart such application, or otherwise change the application to reduce any negative effects on network performance and/or potentially purchased user experience.
In one embodiment, the network performance information and different levels of detail thereof may be utilized with one or more of the various permission schemes described herein or any other suitable security-based access to network performance information may be used to share network performance information between two or more networks. In one embodiment, the information, or a subset thereof, from all networks participating in a global network such as the Internet may be updated to a central resource and shared among all participants in the global network. In another embodiment, networks may share their network performance information with any network to which they have a network-to-network interface. In another embodiment, a network may combine other networks network performance information with its own network performance information in a table or other central or distributed resource.
Although the permission's table described herein relative to
In yet another embodiment, particular emergency circumstances may change the level of access that a network operator gives to outside networks over its own network devices and node segments. For example, a particular emergency event may trigger a command to remove all outside network access to a network operator's network, whether with respect to receiving network performance information, issuing commands and responses thereto, executing troubleshooting or testing routines, or any other communication inconsistent with normal data communication and network operation. In response to another event, a network operator may configure permissions to allow an outside network to obtain enhanced or additional network performance information from within a network operators network.
Any combination of the foregoing may be utilized to allow interconnected networks and the operators thereof to have increased visibility into the operation of each of the interconnected networks and offer some measure of allowing each network to control certain aspects of network performance to address problems determined by analyzing such received network performance information.
In one embodiment, the network performance information is collected, shared, and analyzed automatically by network devices and processes and instructions, commands, further troubleshooting, work-arounds, or other solutions may be automatically generated using suitable ruled-based engines or algorithms to reroute traffic, throttle or block traffic, change the configuration of network devices, or implement any other change in one or more networks to resolve problems associated with the interconnection of data packets across such networks. Different schemes, automated processes, rules, and algorithms may be utilized with respect to real-time data packet communication as opposed to non real-time data packet communication or overall data packet communication.
Although network performance information is described as being stored in tables and carried by PIP packets and otherwise monitored with respect to raw network performance information such as actual measurements of packet loss, latency, bandwidth, real-time bandwidth, jitter, or any other measured or detected item of data associated with network performance, such data may also be stored in tables or communicated via PIP packets after being converted, analyzed, summarized, averaged, or otherwise used in a calculation or statistical analysis to form derived data. Such derived data shall also be considered network performance information.
In one embodiment, statistical information may be kept regarding network performance information that is gathered over a certain interval of time. During such certain interval of time, many measurements of the same data may be made. Different data can be collected and determined at the end of such interval. For example, each measurement itself may be stored, an average of a measurement, such as bandwidth, may be stored, a mode associated with the most frequent bandwidth range or value measured may be stored such as for example, the most frequently measured range of bandwidth.
In another embodiment, the peak bandwidth or other network performance data may be determined and stored. In yet another embodiment, information may be presented as network performance information that establishes the percentage of such interval that the bandwidth was within a particular range. For example, during a measurement interval of one second, 100 measurements may be taken in response, for example, to receiving 100 PIP packets at a particular network node. Such 100 measurements may be analyzed and: (i) an average packet loss, latency and jitter determined, (ii) a peak latency, packet loss, and jitter determined, (iii) a mode or mode range of latency, packet loss, and jitter may be determined, or (iv) any other statistical measure of any data collected as a result of the receipt of such PIP packet may be determined.
For the same 100 sets of network performance data generated, percentages and ranges may be utilized to enhance visibility of the network performance information. For example, if 50 of the 100 measurements taken for bandwidth of real-time data packets are determined to be between zero and 100 Mbps, 20 measurements are determined to be between a range of 100 Mbps and 500 Mbps, and the remaining 20 measurements are determined to be greater than 500 Mbps. Network performance information may be generated to indicate that during one second interval of time, less than 100 Mbps of real-time data packets will be received 50% of the time between 100 and 500 Mbps of real-time data packets will be received 30% of the time, and greater than 500 Mbps of real-time data packets will be received 20% of the time. As described above, filtering may also be utilized. For example, the five lowest measured and the five highest measured amounts of bandwidth may be discarded before doing calculations. In another example, measurements may be tracked as a function of time. In yet another embodiment, the rate of change of bandwidth, latency, packet loss, jitter, or any other measurement may be utilized to generate indications associated with increasing or declining congestion, increasing or declining latency, increasing or declining jitter, or increasing or declining packet loss from one interval to the next interval. Thus, for example, network performance information may be generated that shows the degree of change in any data measured by the node between intervals that may be useful to identify trends in network performance or otherwise detect declining network performance or declining traffic through a particular network element that may be indicative of a problem elsewhere in the network.
In one embodiment, an identifier associated with a graphical element may be included as network performance information such that when network performance information is received by a network operation's center, Internet work system, EMS system, or any other network resource or network device, the graphical element may be displayed as an up arrow, down arrow, blockage symbol, impaired symbol, normal symbol, or any other symbol indicative of network performance information. Thus, for example, an operator of such a resource may see displayed an up arrow indicating that congestion at a particular network switch is increasing, which may alert an operator to look more closely at the remaining network performance information associated with one or more network devices.
The previous detailed description is of a small number of embodiments for implementing the invention and is not intended to be limiting in scope. The following claims set forth a number of the embodiments of the invention disclosed with greater particularity.
This application claims priority from the following co-pending U.S. Provisional Patent Application 60/839,333 filed on Aug. 22, 2006, 60/897,543 filed Jan. 26, 2007, 60/905,624 filed Mar. 7, 2007, and Ser. No. 60/922,246 filed Apr. 5, 2007; the entire teachings of which are incorporated herein by reference.
| Number | Name | Date | Kind |
|---|---|---|---|
| 4612416 | Emerson et al. | Sep 1986 | A |
| 4771448 | Koohgoli et al. | Sep 1988 | A |
| 4831649 | Mejane | May 1989 | A |
| 5042027 | Takase et al. | Aug 1991 | A |
| 5132966 | Hayano et al. | Jul 1992 | A |
| 5408465 | Gusella et al. | Apr 1995 | A |
| 5477529 | Gingell | Dec 1995 | A |
| 5479447 | Chow et al. | Dec 1995 | A |
| 5521910 | Matthews | May 1996 | A |
| 5539815 | Samba | Jul 1996 | A |
| 5574934 | Mirashrafi et al. | Nov 1996 | A |
| 5581482 | Wiedenman et al. | Dec 1996 | A |
| 5621663 | Skagerling | Apr 1997 | A |
| 5627766 | Beaven | May 1997 | A |
| 5638514 | Yoshida et al. | Jun 1997 | A |
| 5675578 | Gruber et al. | Oct 1997 | A |
| 5680425 | Morzano | Oct 1997 | A |
| 5726979 | Henderson et al. | Mar 1998 | A |
| 5757784 | Liebowitz | May 1998 | A |
| 5793976 | Chen et al. | Aug 1998 | A |
| 5878097 | Hase et al. | Mar 1999 | A |
| 5883819 | Abu-Amara et al. | Mar 1999 | A |
| 5901141 | Gruber et al. | May 1999 | A |
| 5903558 | Jones et al. | May 1999 | A |
| 5917821 | Gobuyan et al. | Jun 1999 | A |
| 5931679 | Funahashi | Aug 1999 | A |
| 5953318 | Nattkemper et al. | Sep 1999 | A |
| 5963146 | Johnson et al. | Oct 1999 | A |
| 5970064 | Clark et al. | Oct 1999 | A |
| 6011798 | McAlpine | Jan 2000 | A |
| 6047326 | Kilkki | Apr 2000 | A |
| 6055578 | Williams et al. | Apr 2000 | A |
| 6058102 | Drysdale et al. | May 2000 | A |
| 6064673 | Anderson et al. | May 2000 | A |
| 6081505 | Kilkki | Jun 2000 | A |
| 6108306 | Kalkunte et al. | Aug 2000 | A |
| 6115393 | Engel et al. | Sep 2000 | A |
| 6141341 | Jones et al. | Oct 2000 | A |
| 6167025 | Hsing et al. | Dec 2000 | A |
| 6185198 | LaDue | Feb 2001 | B1 |
| 6201719 | He et al. | Mar 2001 | B1 |
| 6209033 | Datta et al. | Mar 2001 | B1 |
| 6215769 | Ghani et al. | Apr 2001 | B1 |
| 6236996 | Bapat et al. | May 2001 | B1 |
| 6260072 | Rodriguez-Moral | Jul 2001 | B1 |
| 6269401 | Fletcher et al. | Jul 2001 | B1 |
| 6272151 | Gupta et al. | Aug 2001 | B1 |
| 6282274 | Jain et al. | Aug 2001 | B1 |
| 6327620 | Tams et al. | Dec 2001 | B1 |
| 6327677 | Garg et al. | Dec 2001 | B1 |
| 6338046 | Saari et al. | Jan 2002 | B1 |
| 6341270 | Esposito et al. | Jan 2002 | B1 |
| 6363056 | Beigi et al. | Mar 2002 | B1 |
| 6370114 | Gullicksen et al. | Apr 2002 | B1 |
| 6377982 | Rai et al. | Apr 2002 | B1 |
| 6381221 | Legouet-Camus et al. | Apr 2002 | B1 |
| 6381228 | Prieto et al. | Apr 2002 | B1 |
| 6384744 | Philyaw et al. | May 2002 | B1 |
| 6389005 | Cruickshank | May 2002 | B1 |
| 6397359 | Chandra et al. | May 2002 | B1 |
| 6401121 | Yoshida et al. | Jun 2002 | B1 |
| 6404746 | Cave et al. | Jun 2002 | B1 |
| 6421356 | Carter et al. | Jul 2002 | B2 |
| 6434618 | Cohen et al. | Aug 2002 | B1 |
| 6453359 | Bender et al. | Sep 2002 | B1 |
| 6460055 | Midgley et al. | Oct 2002 | B1 |
| 6473793 | Dillon et al. | Oct 2002 | B1 |
| 6477590 | Habusha et al. | Nov 2002 | B1 |
| 6493547 | Raith | Dec 2002 | B1 |
| 6502131 | Vaid et al. | Dec 2002 | B1 |
| 6529475 | Wan et al. | Mar 2003 | B1 |
| 6530032 | Shew et al. | Mar 2003 | B1 |
| 6535504 | Johnson et al. | Mar 2003 | B1 |
| 6542466 | Pashtan et al. | Apr 2003 | B1 |
| 6549946 | Fisher et al. | Apr 2003 | B1 |
| 6560199 | Hoshino | May 2003 | B1 |
| 6594268 | Aukia et al. | Jul 2003 | B1 |
| 6594277 | Chiang et al. | Jul 2003 | B1 |
| 6597683 | Gehring et al. | Jul 2003 | B1 |
| 6614781 | Elliott et al. | Sep 2003 | B1 |
| 6615261 | Smorgrav | Sep 2003 | B1 |
| 6628629 | Jorgensen | Sep 2003 | B1 |
| 6633835 | Moran et al. | Oct 2003 | B1 |
| 6646987 | Qaddoura | Nov 2003 | B1 |
| 6651030 | Victor et al. | Nov 2003 | B2 |
| 6654803 | Rochford et al. | Nov 2003 | B1 |
| 6657957 | Cheung et al. | Dec 2003 | B1 |
| 6665264 | Davison et al. | Dec 2003 | B1 |
| 6665714 | Blumenau et al. | Dec 2003 | B1 |
| 6678250 | Grabelsky et al. | Jan 2004 | B1 |
| 6678524 | Hansson et al. | Jan 2004 | B1 |
| 6684253 | Whitaker et al. | Jan 2004 | B1 |
| 6690646 | Fichou et al. | Feb 2004 | B1 |
| 6721405 | Nolting et al. | Apr 2004 | B1 |
| 6741563 | Packer | May 2004 | B2 |
| 6741572 | Graves et al. | May 2004 | B1 |
| 6748247 | Ramakrishnan et al. | Jun 2004 | B1 |
| 6751777 | Bates et al. | Jun 2004 | B2 |
| 6754221 | Whitcher et al. | Jun 2004 | B1 |
| 6757255 | Aoki et al. | Jun 2004 | B1 |
| 6763380 | Mayton et al. | Jul 2004 | B1 |
| 6765864 | Natarajan et al. | Jul 2004 | B1 |
| 6785285 | Romana et al. | Aug 2004 | B1 |
| 6786259 | Le et al. | Sep 2004 | B2 |
| 6798755 | Lillie et al. | Sep 2004 | B2 |
| 6798786 | Lo et al. | Sep 2004 | B1 |
| 6804240 | Shirakawa et al. | Oct 2004 | B1 |
| 6807515 | Vogel et al. | Oct 2004 | B2 |
| 6816463 | Cooper et al. | Nov 2004 | B2 |
| 6836800 | Sweet et al. | Dec 2004 | B1 |
| 6839070 | Meandzija et al. | Jan 2005 | B2 |
| 6839356 | Barany et al. | Jan 2005 | B2 |
| 6839747 | Blumenau et al. | Jan 2005 | B1 |
| 6868094 | Bordonaro et al. | Mar 2005 | B1 |
| 6891822 | Gubbi et al. | May 2005 | B1 |
| 6892336 | Giorgetta et al. | May 2005 | B1 |
| 6912231 | White et al. | Jun 2005 | B2 |
| 6925060 | Mangin | Aug 2005 | B2 |
| 6925424 | Jones et al. | Aug 2005 | B2 |
| 6925493 | Barkan et al. | Aug 2005 | B1 |
| 6931354 | Jones et al. | Aug 2005 | B2 |
| 6934249 | Bertin et al. | Aug 2005 | B1 |
| 6934251 | Ono | Aug 2005 | B2 |
| 6934749 | Black et al. | Aug 2005 | B1 |
| 6937713 | Kung et al. | Aug 2005 | B1 |
| 6940832 | Saadawi et al. | Sep 2005 | B2 |
| 6944673 | Malan et al. | Sep 2005 | B2 |
| 6947379 | Gleichauf et al. | Sep 2005 | B1 |
| 6950407 | Huddle | Sep 2005 | B1 |
| 6965614 | Osterhout et al. | Nov 2005 | B1 |
| 6973622 | Rappaport et al. | Dec 2005 | B1 |
| 6975617 | Walker et al. | Dec 2005 | B2 |
| 6978223 | Milliken | Dec 2005 | B2 |
| 6985901 | Sachse et al. | Jan 2006 | B1 |
| 6999419 | Ise et al. | Feb 2006 | B2 |
| 7002992 | Shaffer et al. | Feb 2006 | B1 |
| 7006526 | Biedermann | Feb 2006 | B1 |
| 7007107 | Ivchenko et al. | Feb 2006 | B1 |
| 7013322 | Lahr | Mar 2006 | B2 |
| 7013338 | Nag et al. | Mar 2006 | B1 |
| 7013349 | Idsinga | Mar 2006 | B2 |
| 7020082 | Bhagavath et al. | Mar 2006 | B2 |
| 7020085 | Mimura et al. | Mar 2006 | B2 |
| 7020696 | Perry et al. | Mar 2006 | B1 |
| 7023839 | Shaffer et al. | Apr 2006 | B1 |
| 7024475 | Abaye et al. | Apr 2006 | B1 |
| 7027400 | O'Neill | Apr 2006 | B2 |
| 7035220 | Simcoe | Apr 2006 | B1 |
| 7035291 | Grinfeld | Apr 2006 | B2 |
| 7039015 | Vallone et al. | May 2006 | B1 |
| 7039709 | Beadle et al. | May 2006 | B1 |
| 7042841 | Abdelilah et al. | May 2006 | B2 |
| 7051098 | Masters et al. | May 2006 | B2 |
| 7058727 | Dingsor et al. | Jun 2006 | B2 |
| 7061856 | Banerjee | Jun 2006 | B2 |
| 7062259 | Dispensa et al. | Jun 2006 | B1 |
| 7068607 | Partain et al. | Jun 2006 | B2 |
| 7082315 | Bar-On | Jul 2006 | B2 |
| 7088678 | Freed et al. | Aug 2006 | B1 |
| 7092696 | Hosain et al. | Aug 2006 | B1 |
| 7096260 | Zavalkovsky et al. | Aug 2006 | B1 |
| 7099879 | Tacaille et al. | Aug 2006 | B2 |
| 7099942 | Wilson et al. | Aug 2006 | B1 |
| 7100005 | Pearl | Aug 2006 | B2 |
| 7107273 | Ohata et al. | Sep 2006 | B2 |
| 7124211 | Dickson et al. | Oct 2006 | B2 |
| 7127617 | Wiederin et al. | Oct 2006 | B2 |
| 7133368 | Zhang et al. | Nov 2006 | B2 |
| 7142516 | Lev et al. | Nov 2006 | B2 |
| 7180866 | Chartre et al. | Feb 2007 | B1 |
| 7184401 | Foore et al. | Feb 2007 | B2 |
| 7184777 | Diener et al. | Feb 2007 | B2 |
| 7194002 | Zhang et al. | Mar 2007 | B2 |
| 7197546 | Bagga et al. | Mar 2007 | B1 |
| 7206593 | Yarkosky et al. | Apr 2007 | B1 |
| 7209473 | Mohaban et al. | Apr 2007 | B1 |
| 7222147 | Black et al. | May 2007 | B1 |
| 7222190 | Klinker et al. | May 2007 | B2 |
| 7224974 | Benco et al. | May 2007 | B2 |
| 7246045 | Rappaport et al. | Jul 2007 | B1 |
| 7246159 | Aggarwal et al. | Jul 2007 | B2 |
| 7248560 | Blankenship et al. | Jul 2007 | B1 |
| 7248604 | Sugar et al. | Jul 2007 | B2 |
| 7257080 | Martin | Aug 2007 | B2 |
| 7260635 | Pandya et al. | Aug 2007 | B2 |
| 7263067 | Sreemanthula et al. | Aug 2007 | B2 |
| 7266122 | Hogg et al. | Sep 2007 | B1 |
| 7266754 | Shah et al. | Sep 2007 | B2 |
| 7277913 | Kashyap | Oct 2007 | B2 |
| 7283474 | Bergenwall | Oct 2007 | B1 |
| 7292531 | Hill | Nov 2007 | B1 |
| 7304942 | Malladi et al. | Dec 2007 | B1 |
| 7307989 | Ofek | Dec 2007 | B2 |
| 7310334 | FitzGerald et al. | Dec 2007 | B1 |
| 7313129 | Bova et al. | Dec 2007 | B1 |
| 7330434 | Murooka et al. | Feb 2008 | B2 |
| 7333438 | Rabie et al. | Feb 2008 | B1 |
| 7349960 | Pothier et al. | Mar 2008 | B1 |
| 7360083 | Ragireddy et al. | Apr 2008 | B1 |
| 7376731 | Khan et al. | May 2008 | B2 |
| 7385997 | Gorti et al. | Jun 2008 | B2 |
| 7389537 | Callon et al. | Jun 2008 | B1 |
| 7391721 | Holbrook | Jun 2008 | B1 |
| 7406029 | Ciancaglini et al. | Jul 2008 | B1 |
| 7411966 | Bruckner et al. | Aug 2008 | B2 |
| 7412507 | Saxena et al. | Aug 2008 | B2 |
| 7417949 | Weller et al. | Aug 2008 | B2 |
| 7447164 | Ueda et al. | Nov 2008 | B2 |
| 7450928 | Henry et al. | Nov 2008 | B1 |
| 7457868 | Guo | Nov 2008 | B1 |
| 7460493 | Dhanoa et al. | Dec 2008 | B1 |
| 7463634 | Hansen | Dec 2008 | B1 |
| 7471653 | McConnell et al. | Dec 2008 | B2 |
| 7472192 | DeFerranti et al. | Dec 2008 | B2 |
| 7477657 | Murphy et al. | Jan 2009 | B1 |
| 7483437 | Mohaban | Jan 2009 | B1 |
| 7492708 | Ge et al. | Feb 2009 | B2 |
| 7499407 | Holness et al. | Mar 2009 | B2 |
| 7502841 | Small et al. | Mar 2009 | B2 |
| 7505412 | Miyake et al. | Mar 2009 | B2 |
| 7515542 | Hertoghs et al. | Apr 2009 | B2 |
| 7519700 | Sapsford et al. | Apr 2009 | B1 |
| 7519725 | Alvarez et al. | Apr 2009 | B2 |
| 7529192 | Labovitz | May 2009 | B2 |
| 7535913 | Minami et al. | May 2009 | B2 |
| 7539241 | Dick | May 2009 | B1 |
| 7542440 | Rajkotia | Jun 2009 | B2 |
| 7552233 | Raju et al. | Jun 2009 | B2 |
| 7587203 | Shahidi et al. | Sep 2009 | B2 |
| 7590718 | Gilmour et al. | Sep 2009 | B2 |
| 7593321 | Galand et al. | Sep 2009 | B2 |
| 7602725 | Vaught | Oct 2009 | B2 |
| 7613118 | Appanna et al. | Nov 2009 | B2 |
| 7613142 | Molteni et al. | Nov 2009 | B2 |
| 7616573 | Olesinski et al. | Nov 2009 | B2 |
| 7623550 | Forbes | Nov 2009 | B2 |
| 7627627 | Helliwell et al. | Dec 2009 | B2 |
| 7643414 | Minhazuddin | Jan 2010 | B1 |
| 7649837 | Puuskari | Jan 2010 | B1 |
| 7653005 | Zou et al. | Jan 2010 | B2 |
| 7653725 | Yahiro et al. | Jan 2010 | B2 |
| 7684332 | Ray et al. | Mar 2010 | B2 |
| 7715353 | Jain et al. | May 2010 | B2 |
| 7733787 | Patterson et al. | Jun 2010 | B1 |
| 7751780 | Saidi et al. | Jul 2010 | B2 |
| 7756032 | Feick et al. | Jul 2010 | B2 |
| 7765294 | Edwards et al. | Jul 2010 | B2 |
| 7802008 | Akinlar et al. | Sep 2010 | B2 |
| 7808918 | Bugenhagen | Oct 2010 | B2 |
| 7843831 | Morrill et al. | Nov 2010 | B2 |
| 7852749 | Mickle et al. | Dec 2010 | B2 |
| 7889660 | Bugenhagen | Feb 2011 | B2 |
| 7940735 | Kozisek et al. | May 2011 | B2 |
| 7948909 | Bugenhagen | May 2011 | B2 |
| 8000318 | Wiley et al. | Aug 2011 | B2 |
| 8015294 | Bugenhagen | Sep 2011 | B2 |
| 20010002195 | Fellman et al. | May 2001 | A1 |
| 20010006899 | Khullar et al. | Jul 2001 | A1 |
| 20010036181 | Rogers | Nov 2001 | A1 |
| 20010038610 | Decker et al. | Nov 2001 | A1 |
| 20020015386 | Kajiwara | Feb 2002 | A1 |
| 20020032871 | Malan et al. | Mar 2002 | A1 |
| 20020044528 | Pogrebinsky et al. | Apr 2002 | A1 |
| 20020068543 | Shah | Jun 2002 | A1 |
| 20020075869 | Shah et al. | Jun 2002 | A1 |
| 20020093948 | Dertz et al. | Jul 2002 | A1 |
| 20020107966 | Baudot et al. | Aug 2002 | A1 |
| 20020115429 | Deluca et al. | Aug 2002 | A1 |
| 20020129295 | Nishioka et al. | Sep 2002 | A1 |
| 20020135611 | Deosaran et al. | Sep 2002 | A1 |
| 20020145982 | Talpade et al. | Oct 2002 | A1 |
| 20020145998 | Hagirahim | Oct 2002 | A1 |
| 20020165957 | Devoe et al. | Nov 2002 | A1 |
| 20020176131 | Walters et al. | Nov 2002 | A1 |
| 20020186660 | Bahadiroglu | Dec 2002 | A1 |
| 20020186665 | Chaffee et al. | Dec 2002 | A1 |
| 20020191618 | Mattathil | Dec 2002 | A1 |
| 20030005144 | Engel et al. | Jan 2003 | A1 |
| 20030012138 | Abdelilah et al. | Jan 2003 | A1 |
| 20030046388 | Milliken | Mar 2003 | A1 |
| 20030064720 | Valins et al. | Apr 2003 | A1 |
| 20030067877 | Sivakumar et al. | Apr 2003 | A1 |
| 20030067884 | Abler et al. | Apr 2003 | A1 |
| 20030088671 | Klinker et al. | May 2003 | A1 |
| 20030100308 | Rusch | May 2003 | A1 |
| 20030117964 | Chen et al. | Jun 2003 | A1 |
| 20030118029 | Maher, III et al. | Jun 2003 | A1 |
| 20030120594 | Shaginaw et al. | Jun 2003 | A1 |
| 20030128692 | Mitsumori et al. | Jul 2003 | A1 |
| 20030137997 | Keating | Jul 2003 | A1 |
| 20030142625 | Wan et al. | Jul 2003 | A1 |
| 20030147386 | Zhang et al. | Aug 2003 | A1 |
| 20030172291 | Judge et al. | Sep 2003 | A1 |
| 20030182410 | Balan et al. | Sep 2003 | A1 |
| 20030182432 | Lawson | Sep 2003 | A1 |
| 20030185210 | McCormack | Oct 2003 | A1 |
| 20030189900 | Barany et al. | Oct 2003 | A1 |
| 20030189943 | Gorti et al. | Oct 2003 | A1 |
| 20030198187 | Mellquist et al. | Oct 2003 | A1 |
| 20030198209 | Schwengler et al. | Oct 2003 | A1 |
| 20030235209 | Garg et al. | Dec 2003 | A1 |
| 20030236745 | Hartsell et al. | Dec 2003 | A1 |
| 20040025172 | Bian et al. | Feb 2004 | A1 |
| 20040032860 | Mundra et al. | Feb 2004 | A1 |
| 20040034793 | Yuan | Feb 2004 | A1 |
| 20040049596 | Schuehler et al. | Mar 2004 | A1 |
| 20040054680 | Kelley et al. | Mar 2004 | A1 |
| 20040058651 | Ross et al. | Mar 2004 | A1 |
| 20040073641 | Minhazuddin et al. | Apr 2004 | A1 |
| 20040073690 | Hepworth et al. | Apr 2004 | A1 |
| 20040088244 | Bartter et al. | May 2004 | A1 |
| 20040098473 | Yodaiken | May 2004 | A1 |
| 20040101302 | Kim et al. | May 2004 | A1 |
| 20040103216 | Lane | May 2004 | A1 |
| 20040110507 | Ramakrishnan et al. | Jun 2004 | A1 |
| 20040117502 | Rosengard et al. | Jun 2004 | A1 |
| 20040139106 | Bachman et al. | Jul 2004 | A1 |
| 20040153382 | Boccuzzi et al. | Aug 2004 | A1 |
| 20040155899 | Conrad | Aug 2004 | A1 |
| 20040158704 | Oates et al. | Aug 2004 | A1 |
| 20040160979 | Pepin et al. | Aug 2004 | A1 |
| 20040209595 | Bekanich | Oct 2004 | A1 |
| 20040223505 | Kim et al. | Nov 2004 | A1 |
| 20040230572 | Omoigui | Nov 2004 | A1 |
| 20040240405 | Okazaki | Dec 2004 | A1 |
| 20040240454 | Yamauchi et al. | Dec 2004 | A1 |
| 20040242219 | Oie et al. | Dec 2004 | A1 |
| 20040246895 | Feyerabend | Dec 2004 | A1 |
| 20040252718 | Miyamoto | Dec 2004 | A1 |
| 20040258226 | Host | Dec 2004 | A1 |
| 20040261116 | McKeown et al. | Dec 2004 | A1 |
| 20040264961 | Nam et al. | Dec 2004 | A1 |
| 20040267948 | Oliver et al. | Dec 2004 | A1 |
| 20050002331 | Nolle et al. | Jan 2005 | A1 |
| 20050025059 | Rajan et al. | Feb 2005 | A1 |
| 20050027851 | McKeown et al. | Feb 2005 | A1 |
| 20050027870 | Trebes, Jr. | Feb 2005 | A1 |
| 20050043026 | Brok et al. | Feb 2005 | A1 |
| 20050071494 | Rundquist et al. | Mar 2005 | A1 |
| 20050075957 | Pincus et al. | Apr 2005 | A1 |
| 20050083886 | Ikeda | Apr 2005 | A1 |
| 20050086336 | Haber | Apr 2005 | A1 |
| 20050089040 | Kim | Apr 2005 | A1 |
| 20050089043 | Seckin et al. | Apr 2005 | A1 |
| 20050135379 | Callaway et al. | Jun 2005 | A1 |
| 20050138517 | Monitzer | Jun 2005 | A1 |
| 20050157751 | Rabie et al. | Jul 2005 | A1 |
| 20050163047 | McGregor et al. | Jul 2005 | A1 |
| 20050169186 | Qiu et al. | Aug 2005 | A1 |
| 20050180338 | Pirila et al. | Aug 2005 | A1 |
| 20050181814 | Okamoto et al. | Aug 2005 | A1 |
| 20050182847 | Jawad Pirzada et al. | Aug 2005 | A1 |
| 20050201414 | Awais | Sep 2005 | A1 |
| 20050204036 | Farhat et al. | Sep 2005 | A1 |
| 20050204162 | Rayes et al. | Sep 2005 | A1 |
| 20050208950 | Hasse | Sep 2005 | A1 |
| 20050220035 | Ling et al. | Oct 2005 | A1 |
| 20050223097 | Ramsayer et al. | Oct 2005 | A1 |
| 20050228885 | Winfield et al. | Oct 2005 | A1 |
| 20050235058 | Rackus et al. | Oct 2005 | A1 |
| 20050238026 | Wu et al. | Oct 2005 | A1 |
| 20050249124 | Elie-Dit-Cosaque et al. | Nov 2005 | A1 |
| 20050249206 | Wybenga et al. | Nov 2005 | A1 |
| 20050254435 | Moakley et al. | Nov 2005 | A1 |
| 20050260993 | Lovell | Nov 2005 | A1 |
| 20050262240 | Drees et al. | Nov 2005 | A1 |
| 20050289232 | Ebert | Dec 2005 | A1 |
| 20060002370 | Rabie et al. | Jan 2006 | A1 |
| 20060015773 | Singh et al. | Jan 2006 | A1 |
| 20060020700 | Qiu et al. | Jan 2006 | A1 |
| 20060023638 | Monaco et al. | Feb 2006 | A1 |
| 20060023642 | Roskowski et al. | Feb 2006 | A1 |
| 20060072555 | St. Hilaire et al. | Apr 2006 | A1 |
| 20060092976 | Lakshman et al. | May 2006 | A1 |
| 20060094440 | Meier et al. | May 2006 | A1 |
| 20060104264 | Cho | May 2006 | A1 |
| 20060106919 | Watkinson et al. | May 2006 | A1 |
| 20060109839 | Hino et al. | May 2006 | A1 |
| 20060114818 | Canali et al. | Jun 2006 | A1 |
| 20060114888 | Schuman | Jun 2006 | A1 |
| 20060135118 | Claussen et al. | Jun 2006 | A1 |
| 20060143098 | Lazaridis | Jun 2006 | A1 |
| 20060159006 | Yeon et al. | Jul 2006 | A1 |
| 20060159008 | Sridhar et al. | Jul 2006 | A1 |
| 20060164982 | Arora et al. | Jul 2006 | A1 |
| 20060171314 | Qian et al. | Aug 2006 | A1 |
| 20060205410 | Black | Sep 2006 | A1 |
| 20060209685 | Rahman et al. | Sep 2006 | A1 |
| 20060218059 | Hartley et al. | Sep 2006 | A1 |
| 20060239204 | Bordonaro et al. | Oct 2006 | A1 |
| 20060239296 | Jinzaki et al. | Oct 2006 | A1 |
| 20060242309 | Damick et al. | Oct 2006 | A1 |
| 20060244818 | Majors et al. | Nov 2006 | A1 |
| 20060245369 | Schimmelpfeng et al. | Nov 2006 | A1 |
| 20060251050 | Karlsson | Nov 2006 | A1 |
| 20060256721 | Yarlagadda et al. | Nov 2006 | A1 |
| 20060256810 | Yarlagadda et al. | Nov 2006 | A1 |
| 20060262772 | Guichard et al. | Nov 2006 | A1 |
| 20060270385 | Morris | Nov 2006 | A1 |
| 20060271677 | Mercier | Nov 2006 | A1 |
| 20060285501 | Damm | Dec 2006 | A1 |
| 20060286980 | Hua | Dec 2006 | A1 |
| 20070014290 | Dec et al. | Jan 2007 | A1 |
| 20070025255 | Noble | Feb 2007 | A1 |
| 20070025258 | Chen | Feb 2007 | A1 |
| 20070036151 | Baeder | Feb 2007 | A1 |
| 20070076754 | Krishnaswamy | Apr 2007 | A1 |
| 20070083643 | Arndt et al. | Apr 2007 | A1 |
| 20070094374 | Karia et al. | Apr 2007 | A1 |
| 20070097985 | Lee | May 2007 | A1 |
| 20070117538 | Weiser et al. | May 2007 | A1 |
| 20070133403 | Hepworth et al. | Jun 2007 | A1 |
| 20070133441 | Kang et al. | Jun 2007 | A1 |
| 20070140202 | Calhoun et al. | Jun 2007 | A1 |
| 20070140301 | Kailash et al. | Jun 2007 | A1 |
| 20070147247 | Kalonji et al. | Jun 2007 | A1 |
| 20070171937 | Boatright et al. | Jul 2007 | A1 |
| 20070180142 | Small et al. | Aug 2007 | A1 |
| 20070189247 | Wang et al. | Aug 2007 | A1 |
| 20070201485 | Rabipour | Aug 2007 | A1 |
| 20070211717 | Capps et al. | Sep 2007 | A1 |
| 20070217377 | Takeuchi | Sep 2007 | A1 |
| 20070223388 | Arad et al. | Sep 2007 | A1 |
| 20070223493 | Sridhar et al. | Sep 2007 | A1 |
| 20070237085 | Tirumalai et al. | Oct 2007 | A1 |
| 20070255846 | Wee et al. | Nov 2007 | A1 |
| 20070263535 | Shabtay | Nov 2007 | A1 |
| 20070268817 | Smallegange et al. | Nov 2007 | A1 |
| 20070286195 | Ilnickl et al. | Dec 2007 | A1 |
| 20070298763 | Clayton | Dec 2007 | A1 |
| 20080002669 | O'Brien et al. | Jan 2008 | A1 |
| 20080013531 | Elliott et al. | Jan 2008 | A1 |
| 20080014908 | Vasant | Jan 2008 | A1 |
| 20080016402 | Harel et al. | Jan 2008 | A1 |
| 20080031145 | Ethier et al. | Feb 2008 | A1 |
| 20080043716 | Toombs et al. | Feb 2008 | A1 |
| 20080049625 | Edwards et al. | Feb 2008 | A1 |
| 20080049637 | Morrill et al. | Feb 2008 | A1 |
| 20080049745 | Edwards et al. | Feb 2008 | A1 |
| 20080049775 | Morrill et al. | Feb 2008 | A1 |
| 20080062986 | Shand et al. | Mar 2008 | A1 |
| 20080101338 | Reynolds et al. | May 2008 | A1 |
| 20080101364 | Chow et al. | May 2008 | A1 |
| 20080112333 | Busch et al. | May 2008 | A1 |
| 20080165687 | Wang | Jul 2008 | A1 |
| 20080279183 | Wiley et al. | Nov 2008 | A1 |
| 20090059881 | Theobold et al. | Mar 2009 | A1 |
| 20090070454 | McKinnon, III et al. | Mar 2009 | A1 |
| 20090086649 | Van Der Burg et al. | Apr 2009 | A1 |
| 20090116497 | Varma et al. | May 2009 | A1 |
| 20090177742 | Rhoads et al. | Jul 2009 | A1 |
| 20090201828 | Samuels et al. | Aug 2009 | A1 |
| 20090252148 | Dolganow et al. | Oct 2009 | A1 |
| 20100135186 | Choong et al. | Jun 2010 | A1 |
| 20100246393 | Chamas et al. | Sep 2010 | A1 |
| Number | Date | Country |
|---|---|---|
| 2401283 | Mar 2004 | GB |
| Number | Date | Country | |
|---|---|---|---|
| 20080049626 A1 | Feb 2008 | US |
| Number | Date | Country | |
|---|---|---|---|
| 60839333 | Aug 2006 | US | |
| 60897543 | Jan 2007 | US | |
| 60905624 | Mar 2007 | US | |
| 60922246 | Apr 2007 | US |
