There is a growing need, in the field of computer networks, to be able to monitor network traffic. A combination of government regulations, quality assurance responsibilities, and competitive necessities has resulted in an industry-wide need to be able to monitor traffic passing through a network. The level or type of monitoring may vary, depending upon the particular task being performed. For example, it might be desirable to monitor all traffic between a specific source and a specific destination, or to gather information about all traffic passing across the network that involves a specific protocol.
Unfortunately, the tools available to network administrators to perform this kind of monitoring are extremely limited. Many layer 2 devices offer a limited “port mirroring” option, which can create a single copy of traffic coming in on a single port, and output that copy to a single destination port. Port mirroring, used in this fashion, does not offer the ability to make multiple copies, e.g., for multiple different monitoring roles, nor does it allow for sending the copied traffic to different destinations.
Alternatively, a physical “tap” can be inserted in-line, and a portion of the signal can be physically diverted. This approach raises issues involving signal degradation, however; moreover, the equipment used in this approach can be extremely expensive.
Some vendors supply a limited software solution, which creates a set number of copies of traffic. However, software solutions are not scalable, particularly at the speed involved in modern network connections. Also, these approaches only create a limited number of copies of the traffic.
An approach to duplicating network traffic is described. In one approach, a method of creating multiple copies of network traffic is detailed. The method involves receiving network traffic, producing a duplicate copy of the network traffic, and forwarding the duplicate copy to a monitoring port. The monitoring port forwards copies to a number of ports.
Another approach is provided, in which a network device is described. The network device includes a number of networking ports for receiving and transmitting data, and a switching fabric for routing network traffic between networking ports. The networking ports also include an input port, which is used to receive network traffic and is configured to create a duplicate copy of the network traffic. The networking ports also include a monitoring input port, coupled to the input port, which receives a duplicate copy, and is configured to create additional copies and forward them to a number of monitoring ports.
Another described approach details a computer usable medium having computer readable program code embodied therein for causing a computer system to execute a method of monitoring network traffic on a network device. This approach includes receiving the network traffic into an input port. The network traffic is duplicated, producing duplicate traffic. This duplicate traffic is diverted to a monitoring virtual local area network (VLAN), where it is received by a monitoring input port, which forwards a copy of this duplicate traffic to each available port in the VLAN.
The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention:
Reference will now be made in detail to several embodiments. While the subject matter will be described in conjunction with the alternative embodiments, it will be understood that they are not intended to limit the claimed subject matter to these embodiments. On the contrary, the claimed subject matter is intended to cover alternatives, modifications, and equivalents, which may be included within the spirit and scope of the claimed subject matter as defined by the appended claims.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the claimed subject matter. However, it will be recognized by one skilled in the art that embodiments may be practiced without these specific details or with equivalents thereof. In other instances, well-known methods, procedures, components, and circuits have not been described in detail as not to unnecessarily obscure aspects and features of the subject matter.
Portions of the detailed description that follow are presented and discussed in terms of a method. Although steps and sequencing thereof are disclosed in a figure herein (e.g.,
Some portions of the detailed description are presented in terms of procedures, steps, logic blocks, processing, and other symbolic representations of operations on data bits that can be performed in computer memory. These descriptions and representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. A procedure, computer-executed step, logic block, process, etc., is here, and generally, conceived to be a self-consistent sequence of steps or instructions leading to a desired result. The steps are those requiring physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated in a computer system. It has proven convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, or the like.
It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise as apparent from the following discussions, it is appreciated that throughout, discussions utilizing terms such as “accessing,” “writing,” “including,” “storing,” “transmitting,” “traversing,” “associating,” “identifying” or the like, refer to the action and processes of a computer system, or similar electronic computing device, that manipulates and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices.
Computing devices, such as computing system 112, typically include at least some form of computer readable media. Computer readable media can be any available media that can be accessed by a computing device. By way of example, and not limitation, computer readable medium may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computing device. Communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signals such as a carrier wave or other transport mechanism and includes any information delivery media. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared, and other wireless media. Combinations of any of the above should also be included within the scope of computer readable media.
Some embodiments may be described in the general context of computer-executable instructions, such as program modules, executed by one or more computers or other devices. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. Typically the functionality of the program modules may be combined or distributed as desired in various embodiments.
Network Traffic Duplication Via Transparent VLAN Flooding
In the following embodiments, an approach is described for creating an arbitrary number of copies of network traffic, and dispatching them to arbitrary destinations. This approach takes network traffic from any given network port, transparently duplicates it, and forwards the copies to an arbitrary number of network ports. One embodiment involves using port mirroring to create a copy of the selected network traffic. This copy is sent to an input port for a VLAN. By disabling MAC learning for the input port, the traffic is duplicated across the entire VLAN, by means of VLAN flooding. By adjusting VLAN membership, different numbers of copies of the traffic can be created, and dispatched to different ports in the switch. Moreover, different types of traffic can be subjected to different types of monitoring, through the application of network traffic management rules.
In another described embodiment, a layer 2 device, such as a switch, can be configured to enable network traffic monitoring for network traffic passing through the device. In this embodiment, the type of traffic to be monitored, as well as the number of copies to be made and the destinations for those copies, can be adjusted. In such embodiments, if an additional monitoring device needs to be added to the network, it is simply connected to the layer 2 device, and the appropriate port is added to the monitoring VLAN. Further functionality of the layer 2 device may be customized through the use of other networking rules, to provide a scalable, flexible, and robust solution to the need for network monitoring.
Exemplary Networking Device
With reference now to
As shown, network device 200 includes processor 220, storage 230, switching fabric 240, and a number of communications ports, e.g., ports 251, 252, 253, 261, 262, 263, 271, 272, 273, and 274. Processor 220 executes instructions for controlling network device 200, and for managing traffic passing through network device 200. An operating system 225 is shown as executing on processor 220; in some embodiments, operating system 225 supplies the programmatic interface to network device 200.
Network device 200 is also shown as including storage 230. In different embodiments, different types of storage may be utilized, as well as differing amounts of storage. For example, in some embodiments, storage 230 may consist of flash memory, magnetic storage media, or any other appropriate storage type, or combinations thereof. In some embodiments, storage 230 is used to store operating system 225, which is loaded into processor 220 when network device 200 is initialized. Additionally, as shown, storage 230 contains configuration 235. Configuration 235 provides instructions for operating system 225 on how network device 200 is to be operated.
Network device 200 also includes switching fabric 240. In the depicted embodiment, switching fabric 240 is the hardware, software, or combination thereof that passes traffic between a source and a destination. Switching fabric 240, as shown, includes the packet processors, application-specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), and/or controlling programming used to analyze network traffic, apply appropriate networking rules, and route data between ports in network device 200. In many of the embodiments described herein, it is understood that configuring or instructing a port to perform an action involves configuring or instructing that portion of the switching fabric that controls the indicated port to perform that action. For example, if port 251 is configured to implement port mirroring, the packet processor in switching fabric 240 responsible for controlling port 251 is so configured.
Network device 200 is shown as incorporating a number of communications ports. In the depicted device, these communications ports can be arbitrarily assigned to different virtual local area networks (VLANs), according to the instructions contained in configuration 235. Several exemplary VLANs are depicted, namely VLANs 250, 260, and 270. VLAN membership is configurable, and a single physical port may belong to multiple virtual LANs. Network device 200 receives network traffic from attached devices, e.g., computers, or other networking devices, and passes it to its intended destination by means of these communications ports.
Port Mirroring
One feature common to many layer 2 devices is port mirroring. Port mirroring allows traffic being received on one port to be duplicated, and the copy forwarded to a designated second port. Meanwhile, the original traffic is passed on to its intended destination, without further interference. While port mirroring, by itself, is an insufficient solution to the need for network traffic monitoring, embodiments described below make use of port mirroring in order to generate an initial copy of network traffic.
With reference to
Exemplary switch 300 is shown as receiving some network traffic 301 via port 310. In the depicted embodiment, port 310 is configured to utilize port mirroring, by passing the original traffic through to one port, e.g., port 320, and creating a duplicate of the traffic and passing it to a second port, e.g., port 330. As depicted, network traffic 301 is passed through port 310 to port 320, for delivery to its intended destination. Meanwhile, port 310 creates duplicate network traffic 311, and passes duplicate network traffic 311 to port 330, e.g., for monitoring purposes.
MAC Learning and VLAN Flooding
Media Access Control (MAC) address learning, or MAC learning, is a means by which a receiving port in a layer 2 device “learns” how to reach various destinations. In one approach, the source MAC address of every packet received by the port is stored, such that the port will recognize future packets intended for a known recipient, and forward those packets to the appropriate connection.
When a packet with an unknown destination is received, the port will forward that packet to all available connections, thereby “flooding” the network with copies of that packet. This behavior can be modified, e.g., by limiting flooding to ports in the same VLAN as the receiving port. The combination of MAC learning and VLAN flooding helps to minimize traffic on the network, by only utilizing flooding where the destination of a particular packets is not known.
With reference to
VLAN 350 is shown as including ports 360, 370, 380, and 390. In the depicted embodiment, port 360 is a receiving port, and receives network traffic 351 and network traffic 353. When determining how to route received network traffic, receiving port 360 compares the destination of the network traffic with MAC address table 362, to determine if the intended destination is known. In the depicted embodiment, network traffic 351 corresponds to a known destination in MAC address table 362, and is routed to port 370. Network traffic 353, however, does not have a known destination. Accordingly, port 360 floods VLAN 350 with copies of network traffic 353; copies 373, 383, and 393 are sent to every other available port in VLAN 350.
Method of Duplicating Network Traffic
With reference now to
With reference to step 410, a network device is configured to enable port mirroring. In some embodiments, port mirroring is used to create a duplicate copy of network traffic, without impacting the original traffic. This duplicate traffic can be forwarded to a receiving port, while the original is passed through the network device to its intended destination. Here, the duplicate traffic is forwarded to another port in the network device. In this embodiment, this port is part of a defined “monitoring” VLAN; the other ports in the monitoring VLAN are used to communicate with various monitoring devices. If additional monitoring devices are desired, other ports may be added to the monitoring VLAN, and those devices connected to the new ports.
With reference to step 420, the receiving port is configured to disable MAC learning. By disabling MAC learning for the receiving port, VLAN traffic received at that port will be flooded to every other port in the same VLAN.
With reference now to step 430, a copy of the network traffic is received at every port in the monitoring VLAN. In this way, this embodiment allows for an arbitrary number of copies of network traffic to be generated, and dispatched to arbitrary ports in a network device. The described approach does not require additional expense of hardware to be placed in-line with the network, and provides a scalable approach to the problems of network monitoring.
Monitoring Traffic in a Network Device
With reference now to
As shown, network device 500 includes processor 520, storage 530, switching fabric 540, and a number of communications ports, e.g., ports 551, 552, 553, 561, 562, 563, 571, 572, 573, and 574. An operating system 525 is shown as executing on processor 520. A configuration 535 is shown as being stored within storage 530.
With reference now to
With reference now to step 610, network traffic is received by a port in the network device. In the depicted embodiment, the received traffic is identified as traffic to be monitored. In different embodiments, this determination can be performed in different ways. For example, traffic may be identified as of interest if it is intended for a specified recipient, originates from a specified sender, conforms to a particular protocol, is intended for a specified VLAN, or any combination of these elements, or any other identifier of interest.
For example, with reference to
With reference now to step 620, the network device uses port mirroring to create a duplicate copy of the network traffic to be monitored. In some embodiments, the original traffic is allowed to pass through the network device uninterrupted. In some embodiments, network devices, such as layer 2 devices, can be configured to “mirror” traffic; a duplicate copy of the traffic is created, while the original traffic passes through the network device unhindered. The duplicate copy of the traffic can be routed to another port in the network device.
In different embodiments, different approaches may be utilized to initiate and configure port mirroring. For example, in one embodiment, configuration 535 includes appropriate commandline interface (CLI) commands to instruct OS 525 to configure port 551 (or a portion of switching fabric 540 associated with port 551) to implement port mirroring.
Continuing the above example, port 551 is configured to use port mirroring create a duplicate copy of traffic 501, duplicate 511. Network traffic 501 is routed by switching fabric 540 through network device 502 to the appropriate port, e.g., port 552, for delivery to its intended destination. Duplicate 511, meanwhile, is routed to another port, e.g., port 561.
With reference now to step 630, the duplicate copy of the network traffic is diverted to a monitoring VLAN. In some embodiments, several ports in the network device may be associated with a particular VLAN. As explained in greater detail, below, associating the various ports used for monitoring traffic into a VLAN offers some advantages, in terms of flexibility and extensibility of the monitoring system.
Continuing the preceding example, port 561 routes duplicate traffic 511 to VLAN 570, as indicated by arrow 521, where it is received by port 571.
With reference now to step 640, MAC learning is disabled for the input port of the monitoring VLAN. In some embodiments, MAC learning may be selectively disabled. For example, if only specific types of traffic are of interest to every monitoring port in the monitoring VLAN, it may be desirable to route most of the traffic to a single monitoring port, while flooding the traffic across the entire monitoring VLAN if it meets certain specified criteria. Such criteria might include a particular VLAN identifier, or traffic that corresponds to a specific protocol, or a particular sender, receiver, or combination of those. In another embodiment, other criteria may be utilized for determining whether to disable MAC learning. Also, by only selectively disabling MAC learning, the input port of the monitoring VLAN may be used for other non-monitoring functions.
In different embodiments, MAC learning may be disabled by different approaches. For example, in one embodiment, a specific memory location, e.g., in storage 530, needs be modified to specifically disable MAC learning, by modifying a register value associated with that port. In another embodiment, e.g., where OS 525 supports a commandline interface (CLI) command to disable MAC learning, configuration 535 may include an appropriate CLI command to (selectively) disable MAC learning for the specified port.
Continuing the preceding example, MAC learning is disabled for port 571.
With reference now to step 645, in some embodiments, additional networking rules and/or techniques may be applied to the duplicated traffic. In some embodiments, some or all of the normal techniques and approaches available in manipulating network traffic flow can be utilized, in conjunction with this approach to network monitoring. For example, in one approach, an access control list (ACL) can be utilized to further subdivide the monitoring VLAN. Such an approach would be useful in order to, for example, route all voice over IP (VOIP) traffic to several of the ports in the monitoring VLAN, while not flooding all of the monitoring ports. Utilization of these network rules and techniques allows for finer grained control over traffic duplication and network monitoring.
With reference now to step 650, the receiving VLAN port forwards a copy of the duplicate traffic to all available ports in the monitoring VLAN. By disabling MAC learning, the input port for the monitoring VLAN is forced to use VLAN flooding, regardless of the specified destination for the duplicate traffic. In this way, an arbitrary number of copies of network traffic can be created, for use network monitoring. Simply by adding or removing ports in the VLAN, additional or fewer copies of traffic are automatically generated. In some embodiments, as previously noted, which ports are available in the monitoring VLAN may be modified, e.g., by application of additional network rules or techniques.
With reference to the preceding example, port 571 floods VLAN 570 with additional copies of duplicate 511, as indicated by arrow 531. For every other port in VLAN 570, a different copy is generated. By adding additional ports to VLAN 570, e.g., by adding port 574, an additional copy of the duplicate traffic would be automatically generated and forwarded to that port.
With reference now to step 660, a copy of the network traffic is output by each available port in the monitoring VLAN. By connecting monitoring devices to the various ports in the monitoring VLAN, copies of the network traffic of interest are forwarded to the monitoring devices. As such, the above described method allows for a single network device to generate an arbitrary number of copies of network traffic, and forward those copies to various arbitrary ports in a defined VLAN.
Creating Copies of Network Traffic
With reference now to
With reference to step 710, in some embodiments, network traffic of interest is identified. In different embodiments, different approaches may be utilized to flag specific network traffic as of interest. For example, in one embodiment, all network traffic may be so identified. In another embodiment, the originating source of the network traffic, or the intended destination, or the combination of those elements may be sufficient to identify network traffic as interesting. In another embodiment, the specific protocol being utilized by the network traffic, or the contents of that traffic may determine whether network traffic is of interest.
With reference now to step 720, the identified network traffic is duplicated. In some embodiments, a copy of the network traffic is created, e.g., using port mirroring. In another embodiment, other approaches may be utilized to create a copy of the network traffic, e.g., by using a physical tap to divert a portion of the signal.
With reference to step 725, the network traffic is passed along unhindered. In some embodiments, e.g., an embodiment where port mirroring is utilized, the original network traffic is allowed to pass through the network device, and is forwarded to its intended destination.
With reference to step 730, a copy of the network traffic is passed to a monitoring port. For example, the duplicate copy of the network traffic may be directed to a specific port in a layer 2 device, e.g., a monitoring port included in a VLAN.
With reference to step 735, any applicable networking rules are applied. For example, if certain networking rules are defined to apply to traffic passing through the monitoring port, e.g., an access control list, such networking rules may influence how the copy of the network traffic is handled, or the destination or destinations to which it is eventually routed.
With reference to step 740, the monitor port transmits the copy of the network traffic to each of a plurality of indicated ports. In different embodiments, different approaches are utilized in implementing this step. For example, in one embodiment, every indicated port is part of the same VLAN as the monitoring port. By disabling MAC learning for the monitoring port, the monitoring port can be compelled to flood the VLAN with copies of the network traffic.
Transparent VLAN Flooding
In different embodiments, approaches similar to that described above can be applied to different applications. Across different applications, the source of the network traffic to be flooded across a VLAN may differ: for example, in one embodiment, port mirroring may be used to duplicate network traffic, while in another embodiment, network traffic may be initially received into the monitoring VLAN, and one or more of the copies created through VLAN flooding is routed to its intended destination.
With reference now to
In step 810, network traffic is routed to a monitoring VLAN. As noted above, the source of network traffic may vary, across different embodiments. Several such embodiments are depicted below, with reference to
In step 820, the network traffic is received at the monitoring VLAN. In some embodiments, a particular port in a monitoring VLAN serves as an input port, and traffic routed to the monitoring VLAN is received into this input port.
In step 830, transparent VLAN flooding is enabled. Transparent VLAN flooding is used to create duplicate copies of received network traffic, and flood them across the monitoring VLAN. In some embodiments, transparent VLAN flooding is implemented by disabling MAC address learning for the input port for the monitoring VLAN.
With reference now to step 840, in some embodiments, additional networking techniques are applied. For example, in some embodiments, access control lists (ACLs) may be utilized, to restrict where duplicate copies of the received network traffic are routed, within the monitoring VLAN.
With reference now to step 850, copies of the received traffic are flooded to the available ports within the monitoring VLAN. For example, in an embodiment where transparent VLAN flooding is implemented through disabling MAC address learning, and an ACL is used to limit which ports receive copies of traffic, those ports in the monitoring VLAN which are not blocked by the ACL will receive a copy of the network traffic.
Transparent VLAN Flooding and Port Mirroring
As discussed above, in different embodiments, different approaches are utilized for routing network traffic to a monitoring VLAN, for use with transparent VLAN flooding. One such approach involves port mirroring as a source for duplicate network traffic.
With reference now to
As shown, network device 920 includes processor 921, storage 930, switching fabric 540, and a number of communications ports, e.g., ports 951, 952, 953, 961, 962, 963, 971, 972, 973, and 974. An operating system 925 is shown as executing on processor 921. A configuration 935 is shown as being stored within storage 930.
With reference now to
In one embodiment, the method of flowchart 900 is intended to replace step 810 in flowchart 800, e.g., such that the method of flowchart 900 serves to generate and route network traffic to monitoring VLAN.
With reference to step 911, network traffic is received at an input port in a network device. In the depicted embodiment, the network traffic is intended for a destination indicated by information contained in the network traffic. For example, with reference to
With reference to step 913, a duplicate copy of the received traffic is created. In some embodiments, network traffic is created using a port mirroring technique, such as that described previously. The original traffic is then passed through the network device to its intended destination. For example, the received network traffic is routed through network device 920, as indicated by arrow 983.
With reference to step 915, in some embodiments, network rules or filters can be applied to the duplicate traffic. For example, the duplicate traffic can be subjected to an access control list, so as to determine where to route the duplicate copy.
With reference to step 917, the duplicate traffic is forwarded to the monitoring VLAN. For example, the duplicate traffic is passed from port 951 to monitoring VLAN input port 971, as indicated by arrow 985.
The method of flowchart 900, as shown, serves as a replacement for step 810 of flowchart 800. As such, the method of flowchart 900 is intended to flow into step 820, where the network traffic is received by the monitoring VLAN, and eventually copies of the traffic are flooded to all available ports within the monitoring VLAN. For example, copies of the network traffic are passed to the other ports within monitoring VLAN 970, as indicated by arrows 987.
Transparent VLAN Flooding and In-Line Taps
As discussed previously, one approach for creating a duplicate copy of network traffic involves inserting an in-line tap into a network line. Transparent VLAN flooding can be used in conjunction with such an in-line tap, in order to create numerous duplicate copies from a single copy, without further reducing signal strength in the network line.
With reference now to
As shown, network device 1020 includes processor 1021, storage 1030, switching fabric 540, and a number of communications ports, e.g., ports 1051, 1052, 1053, 1061, 1062, 1063, 1071, 1072, 1073, and 1074. An operating system 1025 is shown as executing on processor 1021. A configuration 1035 is shown as being stored within storage 1030.
With reference now to
With reference now to step 1011, a duplicate copy of network traffic is created by an in-line tap. In different embodiments, different in-line taps may be utilized. For instance, in one embodiment, a fiber-optic cable carrying a network signal is tapped, such that a portion of the light contained therein is diverted.
For example, with reference to
With reference now to step 1013, in some embodiments, network rules or filters can be applied to the duplicate traffic. For example, the duplicate traffic can be subjected to an access control list, so as to determine where to route the duplicate copy. These embodiments allow for selectively routing duplicate traffic, e.g., to route different types of duplicate traffic to different destinations.
With reference now to step 1015, the duplicate copy of the network traffic is forwarded to the monitoring VLAN. In some embodiments, the diverted signal is passed to a network device which implements transparent VLAN flooding, in order to generate multiple copies of the network traffic. For example, as indicated by arrow 1085, the diverted portion of the signal for traffic 1081 is passed to network device 1020, and specifically to monitoring VLAN input port 1071.
The method of flowchart 1000, as shown, serves as a replacement for step 810 of flowchart 800. As such, the method of flowchart 1000 is intended to flow into step 820, where the network traffic is received by the monitoring VLAN, and eventually copies of the traffic are flooded to all available ports within the monitoring VLAN. For example, copies of the network traffic are passed to the other ports within monitoring VLAN 1070, as indicated by arrows 1087.
Transparent VLAN Flooding and Network Traffic Sources
Transparent VLAN flooding can also be used in scenarios where the original network traffic is passed to a monitoring VLAN, rather than diverting a copy of the traffic to the VLAN. For example, a traffic source, such as a computer, may direct traffic directly to the monitoring VLAN, in order to generate numerous copies of the traffic.
With reference now to
As shown, network device 1120 includes processor 1121, storage 1130, switching fabric 540, and a number of communications ports, e.g., ports 1151, 1152, 1153, 1161, 1162, 1163, 1171, 1172, 1173, and 1174. An operating system 1125 is shown as executing on processor 1121. A configuration 1135 is shown as being stored within storage 1130.
With reference now to
With reference to step 1111, a network traffic source generates network traffic. In different embodiments, different types of network traffic sources may generate different types of network traffic.
With reference to step 1113, in some embodiments, network rules or filters can be applied to the traffic. For example, the traffic can be subjected to an access control list, so as to determine where to route the duplicate copy. Such embodiments allow traffic to be further manipulated, prior to passing it to the monitoring VLAN. For example, different types of traffic may be routed to different input ports, or different VLANs.
With reference now to step 1115, the network traffic is forwarded to a monitoring VLAN. For example, with reference to
The method of flowchart 1100, as shown, serves as a replacement for step 810 of flowchart 800. As such, the method of flowchart 1100 is intended to flow into step 820, where the network traffic is received by the monitoring VLAN, and eventually copies of the traffic are flooded to all available ports within the monitoring VLAN. For example, copies of the network traffic are passed to the other ports within monitoring VLAN 1170, as indicated by arrows 1187.
Further, in some embodiments, such as the method described by flowchart 1100, a copy of the network traffic may be passed to any desired destination. For example, one port within the monitoring VLAN may be configured to route a copy of the network traffic outside the monitoring VLAN, e.g., to another VLAN, to a specified MAC address, to a specified IP address, or to any other recognized network destination. In this way, copies of the network traffic may be passed to several different VLANs, perhaps to be further duplicated by another monitoring VLAN.
Embodiments of the present invention are thus described. While the present invention has been described in particular embodiments, it should be appreciated that the present invention should not be construed as limited by such embodiments, but rather construed according to the following claims.
This Continuation application claims the benefit of the commonly-owned U.S. patent application Ser. No. 11/827,524, filed on Jul. 11, 2007, by Natarajan, et. al., now U.S. Pat. No. 8,615,008 issued Dec. 13, 2013, and titled “Duplicating Network Traffic through Transparent VLAN Flooding”, and hereby incorporated by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
5031094 | Toegel et al. | Jul 1991 | A |
5359593 | Derby et al. | Oct 1994 | A |
5948061 | Merriman et al. | Sep 1999 | A |
5951634 | Sitbon et al. | Sep 1999 | A |
6006269 | Phaal | Dec 1999 | A |
6006333 | Nielsen | Dec 1999 | A |
6092178 | Jindal et al. | Jul 2000 | A |
6112239 | Kenner et al. | Aug 2000 | A |
6115752 | Chauhan | Sep 2000 | A |
6128279 | O'Neil et al. | Oct 2000 | A |
6128642 | Doraswamy et al. | Oct 2000 | A |
6148410 | Baskey et al. | Nov 2000 | A |
6167445 | Gai et al. | Dec 2000 | A |
6167446 | Lister et al. | Dec 2000 | A |
6182139 | Brendel | Jan 2001 | B1 |
6195691 | Brown | Feb 2001 | B1 |
6233604 | Van Horne et al. | May 2001 | B1 |
6286039 | Van Horne et al. | Sep 2001 | B1 |
6286047 | Ramanathan et al. | Sep 2001 | B1 |
6304913 | Rune | Oct 2001 | B1 |
6324580 | Jindal et al. | Nov 2001 | B1 |
6327622 | Jindal et al. | Dec 2001 | B1 |
6336137 | Lee et al. | Jan 2002 | B1 |
6381627 | Kwan et al. | Apr 2002 | B1 |
6389462 | Cohen et al. | May 2002 | B1 |
6427170 | Sitaraman et al. | Jul 2002 | B1 |
6434118 | Kirschenbaum | Aug 2002 | B1 |
6438652 | Jordan et al. | Aug 2002 | B1 |
6446121 | Shah et al. | Sep 2002 | B1 |
6449657 | Stanbach, Jr. et al. | Sep 2002 | B2 |
6470389 | Chung et al. | Oct 2002 | B1 |
6473802 | Masters | Oct 2002 | B2 |
6480508 | Mwikalo et al. | Nov 2002 | B1 |
6490624 | Sampson et al. | Dec 2002 | B1 |
6549944 | Weinberg et al. | Apr 2003 | B1 |
6567377 | Vepa et al. | May 2003 | B1 |
6578066 | Logan et al. | Jun 2003 | B1 |
6606643 | Emens et al. | Aug 2003 | B1 |
6665702 | Zisapel et al. | Dec 2003 | B1 |
6671275 | Wong et al. | Dec 2003 | B1 |
6681232 | Sitanizadeh et al. | Jan 2004 | B1 |
6681323 | Fontsnesi et al. | Jan 2004 | B1 |
6691165 | Bruck et al. | Feb 2004 | B1 |
6697368 | Chang et al. | Feb 2004 | B2 |
6735218 | Chang et al. | May 2004 | B2 |
6745241 | French et al. | Jun 2004 | B1 |
6751616 | Chan | Jun 2004 | B1 |
6772211 | Lu et al. | Aug 2004 | B2 |
6779017 | Lamberton et al. | Aug 2004 | B1 |
6789125 | Aviani et al. | Sep 2004 | B1 |
6826198 | Turina et al. | Nov 2004 | B2 |
6831891 | Mansharamani | Dec 2004 | B2 |
6839700 | Doyle et al. | Jan 2005 | B2 |
6850984 | Kalkunte et al. | Feb 2005 | B1 |
6874152 | Vermeire et al. | Mar 2005 | B2 |
6879995 | Chinta et al. | Apr 2005 | B1 |
6898633 | Lyndersay et al. | May 2005 | B1 |
6901072 | Wong | May 2005 | B1 |
6901081 | Ludwig | May 2005 | B1 |
6928485 | Krishnamurthy et al. | Aug 2005 | B1 |
6944678 | Lu et al. | Sep 2005 | B2 |
6963914 | Breitbart et al. | Nov 2005 | B1 |
6963917 | Callis et al. | Nov 2005 | B1 |
6985956 | Luke et al. | Jan 2006 | B2 |
6987763 | Rochberger et al. | Jan 2006 | B2 |
6996615 | McGuire | Feb 2006 | B1 |
6996616 | Leighton et al. | Feb 2006 | B1 |
7000007 | Valenti | Feb 2006 | B1 |
7009968 | Ambe et al. | Mar 2006 | B2 |
7020698 | Andrews et al. | Mar 2006 | B2 |
7020714 | Kalyanaraman et al. | Mar 2006 | B2 |
7028083 | Levine et al. | Apr 2006 | B2 |
7031304 | Arberg et al. | Apr 2006 | B1 |
7032010 | Swildens et al. | Apr 2006 | B1 |
7036039 | Holland | Apr 2006 | B2 |
7058717 | Chao et al. | Jun 2006 | B2 |
7062642 | Langrind et al. | Jun 2006 | B1 |
7086061 | Joshi et al. | Aug 2006 | B1 |
7089293 | Grosner et al. | Aug 2006 | B2 |
7126910 | Sridhar | Oct 2006 | B1 |
7127713 | Davis et al. | Oct 2006 | B2 |
7136932 | Schneider | Nov 2006 | B1 |
7139242 | Bays | Nov 2006 | B2 |
7177933 | Foth | Feb 2007 | B2 |
7185052 | Day | Feb 2007 | B2 |
7187687 | Davis et al. | Mar 2007 | B1 |
7188189 | Karol et al. | Mar 2007 | B2 |
7197547 | Miller et al. | Mar 2007 | B1 |
7206806 | Pineau | Apr 2007 | B2 |
7215637 | Ferguson et al. | May 2007 | B1 |
7225272 | Kelley et al. | May 2007 | B2 |
7240015 | Karmouch et al. | Jul 2007 | B1 |
7240100 | Wein et al. | Jul 2007 | B1 |
7254626 | Kommula et al. | Aug 2007 | B1 |
7257642 | Bridger et al. | Aug 2007 | B1 |
7260645 | Bays | Aug 2007 | B2 |
7266117 | Davis | Sep 2007 | B1 |
7266120 | Cheng | Sep 2007 | B2 |
7277954 | Stewart et al. | Oct 2007 | B1 |
7292573 | LaVigne et al. | Nov 2007 | B2 |
7296088 | Padmanabhan et al. | Nov 2007 | B1 |
7321926 | Zhang et al. | Jan 2008 | B1 |
7424018 | Gallatin et al. | Sep 2008 | B2 |
7436832 | Gallatin et al. | Oct 2008 | B2 |
7440467 | Gallatin et al. | Oct 2008 | B2 |
7450527 | Ashwood Smith | Nov 2008 | B2 |
7454500 | Hsu et al. | Nov 2008 | B1 |
7483374 | Nilakantan et al. | Jan 2009 | B2 |
7506065 | LaVigne et al. | Mar 2009 | B2 |
7555562 | See et al. | Jun 2009 | B2 |
7587487 | Gunturu | Sep 2009 | B1 |
7606203 | Shabtay et al. | Oct 2009 | B1 |
7690040 | Frattura et al. | Mar 2010 | B2 |
7706363 | Daniel et al. | Apr 2010 | B1 |
7720066 | Weyman | May 2010 | B2 |
7720076 | Dobbins | May 2010 | B2 |
7747737 | Apte et al. | Jun 2010 | B1 |
7787454 | Won et al. | Aug 2010 | B1 |
7792047 | Gallatin et al. | Sep 2010 | B2 |
7835358 | Gallatin et al. | Nov 2010 | B2 |
7848326 | Leong et al. | Dec 2010 | B1 |
7889748 | Leong et al. | Feb 2011 | B1 |
7940766 | Olakangil | May 2011 | B2 |
7953089 | Ramakrishnan | May 2011 | B1 |
8208494 | Leong | Jun 2012 | B2 |
8238344 | Chen | Aug 2012 | B1 |
8239960 | Frattura et al. | Aug 2012 | B2 |
8248928 | Wang et al. | Aug 2012 | B1 |
8270845 | Cheung et al. | Sep 2012 | B2 |
8315256 | Leong et al. | Nov 2012 | B2 |
8386846 | Cheung | Feb 2013 | B2 |
8391286 | Gallatin et al. | Mar 2013 | B2 |
8514718 | Zijst | Aug 2013 | B2 |
8537697 | Leong et al. | Sep 2013 | B2 |
8570862 | Leong et al. | Oct 2013 | B1 |
8615008 | Natarajan et al. | Dec 2013 | B2 |
8654651 | Leong et al. | Feb 2014 | B2 |
8824466 | Won et al. | Sep 2014 | B2 |
8830819 | Leong et al. | Sep 2014 | B2 |
8873557 | Nguyen | Oct 2014 | B2 |
8891527 | Wang | Nov 2014 | B2 |
8897138 | Yu et al. | Nov 2014 | B2 |
8953458 | Leong et al. | Feb 2015 | B2 |
20010049741 | Skene et al. | Dec 2001 | A1 |
20010052016 | Skene et al. | Dec 2001 | A1 |
20020018796 | Wironen | Feb 2002 | A1 |
20020023089 | Woo | Feb 2002 | A1 |
20020026551 | Kamimaki et al. | Feb 2002 | A1 |
20020038360 | Andrews et al. | Mar 2002 | A1 |
20020055939 | Nardone et al. | May 2002 | A1 |
20020059170 | Vange | May 2002 | A1 |
20020059464 | Hata et al. | May 2002 | A1 |
20020062372 | Hong et al. | May 2002 | A1 |
20020078233 | Biliris et al. | Jun 2002 | A1 |
20020091840 | Pulier et al. | Jul 2002 | A1 |
20020112036 | Bohannan et al. | Aug 2002 | A1 |
20020120743 | Shabtay et al. | Aug 2002 | A1 |
20020124096 | Loguinov et al. | Sep 2002 | A1 |
20020133601 | Kennamer et al. | Sep 2002 | A1 |
20020150048 | Ha et al. | Oct 2002 | A1 |
20020154600 | Ido et al. | Oct 2002 | A1 |
20020188862 | Trethewey et al. | Dec 2002 | A1 |
20020194324 | Guha | Dec 2002 | A1 |
20020194335 | Maynard | Dec 2002 | A1 |
20030031185 | Kikuchi et al. | Feb 2003 | A1 |
20030035430 | Islam et al. | Feb 2003 | A1 |
20030065711 | Acharya et al. | Apr 2003 | A1 |
20030065763 | Swildens et al. | Apr 2003 | A1 |
20030105797 | Dolev et al. | Jun 2003 | A1 |
20030115283 | Barbir et al. | Jun 2003 | A1 |
20030135509 | Davis et al. | Jul 2003 | A1 |
20030202511 | Sreejith et al. | Oct 2003 | A1 |
20030210686 | Terrell et al. | Nov 2003 | A1 |
20030210694 | Jayaraman et al. | Nov 2003 | A1 |
20030229697 | Borella | Dec 2003 | A1 |
20040019680 | Chao et al. | Jan 2004 | A1 |
20040024872 | Kelley et al. | Feb 2004 | A1 |
20040032868 | Oda | Feb 2004 | A1 |
20040064577 | Dahlin et al. | Apr 2004 | A1 |
20040194102 | Neerdaels | Sep 2004 | A1 |
20040249939 | Amini et al. | Dec 2004 | A1 |
20040249971 | Klinker | Dec 2004 | A1 |
20050021883 | Shishizuka et al. | Jan 2005 | A1 |
20050033858 | Swildens et al. | Feb 2005 | A1 |
20050060418 | Sorokopud | Mar 2005 | A1 |
20050060427 | Phillips et al. | Mar 2005 | A1 |
20050086295 | Cunningham et al. | Apr 2005 | A1 |
20050149531 | Srivastava | Jul 2005 | A1 |
20050169180 | Ludwig | Aug 2005 | A1 |
20050190695 | Phaal | Sep 2005 | A1 |
20050207417 | Ogawa et al. | Sep 2005 | A1 |
20050286416 | Shimonishi et al. | Dec 2005 | A1 |
20060036743 | Deng et al. | Feb 2006 | A1 |
20060039374 | Belz et al. | Feb 2006 | A1 |
20060045082 | Fertell et al. | Mar 2006 | A1 |
20060143300 | See et al. | Jun 2006 | A1 |
20070053296 | Yazaki et al. | Mar 2007 | A1 |
20070195761 | Tatar et al. | Aug 2007 | A1 |
20070233891 | Luby et al. | Oct 2007 | A1 |
20080002591 | Ueno | Jan 2008 | A1 |
20080031141 | Lean et al. | Feb 2008 | A1 |
20080159141 | Soukup et al. | Jul 2008 | A1 |
20080195731 | Harmel et al. | Aug 2008 | A1 |
20080304423 | Chuang et al. | Dec 2008 | A1 |
20090135835 | Gallatin et al. | May 2009 | A1 |
20090262745 | Leong et al. | Oct 2009 | A1 |
20100135323 | Leong | Jun 2010 | A1 |
20100209047 | Cheung et al. | Aug 2010 | A1 |
20100325178 | Won et al. | Dec 2010 | A1 |
20110044349 | Gallatin et al. | Feb 2011 | A1 |
20110058566 | Leong et al. | Mar 2011 | A1 |
20110211443 | Leong et al. | Sep 2011 | A1 |
20110216771 | Gallatin et al. | Sep 2011 | A1 |
20120023340 | Cheung | Jan 2012 | A1 |
20120157088 | Gerber et al. | Jun 2012 | A1 |
20120243533 | Leong | Sep 2012 | A1 |
20120257635 | Gallatin et al. | Oct 2012 | A1 |
20130010613 | Cafarelli et al. | Jan 2013 | A1 |
20130034107 | Leong et al. | Feb 2013 | A1 |
20130156029 | Gallatin et al. | Jun 2013 | A1 |
20130173784 | Wang et al. | Jul 2013 | A1 |
20130201984 | Wang | Aug 2013 | A1 |
20130272135 | Leong | Oct 2013 | A1 |
20140016500 | Leong et al. | Jan 2014 | A1 |
20140029451 | Nguyen | Jan 2014 | A1 |
20140204747 | Yu et al. | Jul 2014 | A1 |
20140321278 | Cafarelli et al. | Oct 2014 | A1 |
20150180802 | Chen et al. | Jun 2015 | A1 |
Number | Date | Country |
---|---|---|
2654340 | Oct 2013 | EP |
20070438 | Feb 2008 | IE |
2010135474 | Nov 2010 | WO |
Entry |
---|
Non-Final Office Action for U.S. Appl. No. 11/827,524 mailed on Dec. 10, 2009, 15 pages. |
Non-Final Office Action for U.S. Appl. No. 11/827,524 mailed on Jun. 2, 2010, 14 pages. |
Non-Final Office Action for U.S. Appl. No. 11/827,524 mailed on Nov. 26, 2010, 16 pages. |
Final Office Action for U.S. Appl. No. 11/827,524 mailed on May 6, 2011, 19 pages. |
Advisory Action for U.S. Appl. No. 11/827,524 mailed on Jul. 14, 2011, 5 pages. |
Non-Final Office Action for U.S. Appl. No. 11/827,524 mailed on Oct. 18, 2012, 24 pages. |
Notice of Allowance for U.S. Appl. No. 11/827,524 mailed Jun. 25, 2013, 11 pages. |
U.S. Appl. No. 61/919,244, filed Dec. 20, 2013 by Chen et al. |
U.S. Appl. No. 61/932,650, filed Jan. 28, 2014 by Munshi et al. |
U.S. Appl. No. 61/994,693, filed May 16, 2014 by Munshi et al. |
U.S. Appl. No. 62/088,434, filed Dec. 5, 2014 by Hsu et al. |
U.S. Appl. No. 62/137,073, filed Mar. 23, 2015 by Chen et al. |
U.S. Appl. No. 62/137,084, filed Mar. 23, 2015 by Chen et al. |
U.S. Appl. No. 62/137,096, filed Mar. 23, 2015 by Laxman et al. |
U.S. Appl. No. 62/137,106, filed Mar. 23, 2015 by Laxman et al. |
U.S. Appl. No. 60/998,410, filed Oct. 9, 2007 by Wang et al. |
PCT Patent Application No. PCT/US2015/012915 filed on Jan. 26, 2015 by Hsu et al. |
Brocade and IBM Real-Time Network Analysis Solution; 2011 Brocade Communications Systems, Inc.; 2 pages. |
Brocade IP Network Leadership Technology; Enabling Non-Stop Networking for Stackable Switches with Hitless Failover; 2010; 3 pages. |
Gigamon Adaptive Packet Filtering; Feature Brief; 3098-03 Apr. 2015; 3 pages. |
Gigamon: Active Visibility for Multi-Tiered Security Solutions Overview; 3127-02; Oct. 2014; 5 pages. |
Gigamon: Application Note Stateful GTP Correlation; 4025-02; Dec. 2013; 9 pages. |
Gigamon: Enabling Network Monitoring at 40Gbps and 100Gbps with Flow Mapping Technology White Paper; 2012; 4 pages. |
Gigamon: Enterprise System Reference Architecture for the Visibility Fabric White Paper; 5005-03; Oct. 2014; 13 pages. |
Gigamon: Gigamon Intelligent Flow Mapping White Paper; 3039-02; Aug. 2013; 7 pages. |
Gigamon: GigaVUE-HB1 Data Sheet; 4011-07; Oct. 2014; 4 pages. |
Gigamon: Maintaining 3G and 4G LTE Quality of Service White Paper; 2012; 4 pages. |
Gigamon: Monitoring, Managing, and Securing SDN Deployments White Paper; 3106-01; May 2015; 7 pages. |
Gigamon: Netflow Generation Feature Brief; 3099-04; Oct. 2014; 2 pages. |
Gigamon: Service Provider System Reference Architecture for the Visibility Fabric White Paper; 5004-01; Mar. 2014; 11 pages. |
Gigamon: The Visibility Fabric Architecture—A New Approach to Traffic Visibility White Paper; 2012-2013; 8 pages. |
Gigamon: Unified Visibility Fabric—A New Approach to Visibility White Paper; 3072-04; Jan. 2015; 6 pages. |
Gigamon: Unified Visibility Fabric Solution Brief; 3018-03; Jan. 2015; 4 pages. |
Gigamon: Unified Visibility Fabric; https://www.gigamon.com/unfied-visibility-fabric; Apr. 7, 2015; 5 pages. |
Gigamon: Visibility Fabric Architecture Solution Brief; 2012-2013; 2 pages. |
Gigamon: Visibility Fabric; More than Tap and Aggregation.bmp; 2014; 1 page. |
Gigamon: Vistapointe Technology Solution Brief; Visualize-Optimize-Monetize-3100-02; Feb. 2014; 2 pages. |
IBM User Guide, Version 2.1AIX, Solaris and Windows NT, Third Edition (Mar. 1999) 102 Pages. |
International Search Report & Written Opinion for PCT Application PCT/US2015/012915 mailed Apr. 10, 2015, 15 pages. |
Ixia Anue GTP Session Controller; Solution Brief; 915-6606-01 Rev. A, Sep. 2013; 2 pages. |
Ixia: Creating a Visibility Architecture—a New Perspective on Network Visibilty White Paper; 915-6581-01 Rev. A, Feb. 2014; 14 pages. |
Netscout: nGenius Subscriber Intelligence; Data Sheet; SPDS—001-12; 2012; 6 pages. |
Netscout; Comprehensive Core-to-Access IP Session Analysis for GPRS and UMTS Networks; Technical Brief; Jul. 16, 2010; 6 pages. |
ntop: Monitoring Mobile Networks (2G, 3G and LTE) using nProbe; http://www.ntop.org/nprobe/monitoring-mobile-networks-2g-3g-and-Ite-using-nprobe; Apr. 2, 2015; 4 pages. |
White Paper, Foundry Networks, “Server Load Balancing in Today's Web-Enabled Enterprises” Apr. 2002 10 Pages. |
Non-Final Office Action for U.S. Appl. No. 13/584,534 mailed on Oct. 24, 2014, 24 pages. |
Restriction Requirement for U.S. Appl. No. 13/584,534 mailed on Jul. 21, 2014, 5 pages. |
Non-Final Office Action for U.S. Appl. No. 11/937,285 mailed on Jul. 6, 2009, 28 pages. |
Final Office Action for U.S. Appl. No. 11/937,285 mailed on Mar. 3, 2010, 28 pages. |
Non-Final Office Action for U.S. Appl. No. 11/937,285 mailed on Aug. 17, 2010, 28 pages. |
Final Office Action for U.S. Appl. No. 11/937,285 mailed on Jan. 20, 2011, 41 pages. |
Final Office Action for U.S. Appl. No. 11/937,285 mailed on May 20, 2011, 37 pages. |
Non-Final Office Action for U.S. Appl. No. 11/937,285 mailed on Nov. 28, 2011, 40 pages. |
Notice of Allowance for U.S. Appl. No. 11/937,285 mailed on Jun. 5, 2012, 10 pages. |
Non-Final Office Action for U.S. Appl. No. 14/320,138, mailed Feb. 2, 2016, 13 pages. |
Number | Date | Country | |
---|---|---|---|
20140022916 A1 | Jan 2014 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 11827524 | Jul 2007 | US |
Child | 14030782 | US |