This disclosure pertains to reducing address resolution protocol (ARP) and/or neighbor discovery (ND) in a cloud environment.
Currently in Virtual Private cloud, Hybrid Cloud or Data center scenarios, it is common to see different Layer 2 network/sites are connected using various overlay technologies (like EVPN, VxLAN, NVO3, etc.). In these scenarios, the Overlay Edge Node (e.g. NVE, PE) uses dataplane based MAC learning and exchange the MAC reachability over BGP. The Overlay Edge node (e.g. NVE, PE) can also perform ND/ARP snooping for additional optimization and advertise the IP/MAC reachability info via BGP, so that any Edge Node (e.g. NVE, PE), upon receiving ND/ARP requests from connected L2 devices (e.g. Virtual Machines VMs) would check the local cache table for existing ND/ARP entries and reply directly to the connected L2 devices, if appropriate match is found. If there is no match found, then Edge Node would flood the request to remote Edge Nodes and wait for the reply.
It is possible that an orchestrator network element, such as a controller, is made aware of the IP/MAC address of the network function virtualization (NFV)/virtual machine (VM) instances, thereby allowing controllers to exchange the IP/MAC address reachability details with adjacent NVEs. However, this still does not address the above flooding challenge, as NVEs are still required to rely on data plane (learning and/or ND/ARP snooping) and control plane (e.g. BGP advertisements /withdrawal).
This disclosure describes leveraging a controller's knowledge about the IP/MAC address of spawned VM/service function (SF)/NFV instances and prepopulate the same as an address resolution protocol service function (ARP-SF) on each L2 sites. NVE sniffs the ARP request from connected site and forwards the ARP to an ARP-SF after encapsulating the ARP request with a network service (NSH) header.
Aspects of the embodiments are directed to one or more computer readable storage media encoded with software comprising computer executable instructions and when the software is executed operable to receive an address resolution protocol (ARP) request message from a requesting virtual machine, the ARP request message comprising a request for a destination address for a destination virtual machine, wherein the destination address comprises one or both of a destination hardware address or a destination media access control address; augment the ARP request message with a network service header (NSH), the NSH identifying an ARP service function; and forward the augmented ARP request to the ARP service function.
In some embodiments, the software is further operable to receive an ARP reply message from the ARP service function; decapsulate a network service header from the ARP reply message; and forward the decapsulated ARP reply message to the requesting virtual machine, the ARP reply message including a destination address for a destination virtual machine.
In some embodiments, wherein the software is further operable to update a forwarding table with the destination address for the destination virtual machine.
In some embodiments, the software is further operable to determine, from the ARP reply message received from the ARP service function, that the destination address for the destination virtual machine is not present in an ARP service function database; and transmit an ARP request message to one or more network elements in a network.
Aspects of the embodiments are directed to a network element for performing address resolution, the network element comprising at least one memory element having instruction stored thereon; at least one processor coupled to the at least one memory element and configured to execute the instructions to cause the service classifier node to receive an address resolution protocol (ARP) request message from a requesting virtual machine, the ARP request message comprising a request for a destination address for a destination virtual machine, wherein the destination address comprises one or both of a destination hardware address or a destination media access control address; augment the ARP request message with a network service header (NSH), the NSH identifying an ARP service function; and forwarding the augmented ARP request to the ARP service function.
In some embodiments, the at least one processor configured to cause the network element to receive an ARP reply message from the ARP service function; decapsulate a network service header from the ARP reply message; and forward the decapsulated ARP reply message to the requesting virtual machine, the ARP reply message including a destination address for a destination virtual machine.
In some embodiments, the at least one processor configured to cause the network element to update a forwarding table with the destination address for the destination virtual machine.
In some embodiments, the network element comprises a network virtualization edge network element.
In some embodiments, the at least one processor configured to cause the network element to determine, from the ARP reply message received from the ARP service function, that the destination address for the destination virtual machine is not present in an ARP service function database; and transmit an ARP request message to one or more network elements in a network.
Aspects of the embodiments are directed to one or more computer readable storage media encoded with software comprising computer executable instructions and when the software is executed operable to receive, at an address resolution protocol (ARP) service function, an ARP request message from a network element; perform a lookup in an ARP database associated with the ARP service function; generate an ARP reply message; forward the ARP reply message to the network element.
In some embodiments, the software is further operable to determine the presence in the ARP database of a destination address for a destination virtual machine identified in the ARP request message, wherein the destination address comprises one or both of a destination hardware address or a destination media access control address; and augment the ARP reply message with the destination address for the destination virtual machine.
In some embodiments, the software is further operable to determine the presence in the ARP database of a destination address for a destination virtual machine identified in the ARP request message, wherein the destination address comprises one or both of a destination hardware address or a destination media access control address; determine that the virtual machine is a local virtual machine based, at least in part, on the destination address of the destination virtual machine; and ignore the ARP request message.
In some embodiments, determine that a destination address for a destination virtual machine identified in the ARP request message does not exist in the ARP database; wherein generating an ARP reply message comprises generating an ARP reply message that includes a network service header that indicates the absence of the destination address for the destination.
In some embodiments, the software is further operable to receive from a controller one or more virtual machine destination addresses, and for each virtual machine destination address, a corresponding virtual machine identifier; and storing the one or more virtual machine destination address and corresponding virtual machine identifier in a database, wherein the destination address comprises one or both of a destination hardware address or a destination media access control address.
Aspects of the embodiments are directed to a network element for performing address resolution, the network element comprising at least one memory element having instruction stored thereon; at least one processor coupled to the at least one memory element and configured to execute the instructions to cause the service classifier node to receive, at an address resolution protocol (ARP) service function, an ARP request message from a network element; perform a lookup in an ARP database associated with the ARP service function; generate an ARP reply message; forward the ARP reply message to the network element.
In some embodiments, the at least one processor configured to cause the network element to determine the presence in the ARP database of a destination address for a destination virtual machine identified in the ARP request message; and augment the ARP reply message with the destination address for the destination virtual machine; wherein the destination address comprises one or both of a destination hardware address or a destination media access control address.
In some embodiments, the at least one processor configured to cause the network element to determine the presence in the ARP database of a destination address for a destination virtual machine identified in the ARP request message; determine that the virtual machine is a local virtual machine based, at least in part, on the destination address of the destination virtual machine; and ignore the ARP request message; wherein the destination address comprises one or both of a destination hardware address or a destination media access control address.
In some embodiments, the at least one processor configured to cause the network element to determine that a destination address for a destination virtual machine identified in the ARP request message does not exist in the ARP database; wherein generating an ARP reply message comprises encapsulating the APR request message; setting a flag in the network service header to flood the APR request, and forwarding the ARP request message to the network element that includes a network service header that indicates the absence of the destination address for the destination.
In some embodiments, the at least one processor configured to cause the network element to receive from a controller one or more virtual machine destination addresses, and for each virtual machine destination address, a corresponding virtual machine identifier; and storing the one or more virtual machine destination address and corresponding virtual machine identifier in a database.
In some embodiments, wherein the destination address comprises one or both of an internet protocol (IP) or media access control (MAC) address.
Aspects of the embodiments are directed to an NVE that is configured to receive the ND/ARP request message from the requesting VM. The NVE can look up a BGP table for the destination address (hardware address or MAC address) information for the destination VM. The NVE can create a reply, and send the reply message to the VM. The NVE can also update the forwarding table, the entry of which would expire after some time period.
The ARP-SF replies back with the details if it has the same in local database. Else will signal the NVE to flood the request. Scalable and dynamic way of reducing the ARP flooding.
The idea is to dedicate one or more Service Functions (SF), dubbed as ND/ARP-SF that keeps track of IP/MAC details of each VM instance in local and remote L2 sites, and provide the IP/MAC reachability information to the Overlay Edge Node (e.g. NVE, PE) when requested using Network Services Header (NSH) mechanism.
Overlay Edge Node does NOT populate the IP/MAC reachability information in its forwarding table by default, until/unless there is a corresponding traffic. This is because the IP/MAC reachability details are outsourced to ND/ARP-SF.
ND/ARP-SF Service Function is populated with the IP/MAC details of each VM instance, after it is spun up, and deleted when VM instance is deleted. To make this happen (updating the IP/MAC details per VM), ND/ARP-SF communicates (using APIs (e.g. REST) preferably in pub/sub manner) with either Virtual Infra Manager (VIM) such as vCenter, Openstack, etc. or a controller such as Virtual Topology System (VTS), etc. depending on the deployment model.
Note that there could be more than one ND/ARP-SF and more than one VIM/Controllers for scale purposes. Controllers are typically used on top of VIM for scale purposes.
The IP/MAC reachability details are exchanged among the controllers of different sites using any (REST) API or BGPEVPN. This consolidated information is populated in ARP-SF.
ND/ARP-SF Service Function is populated with the IP/MAC details of each VM instance, after it is spun up, and deleted when VM instance is deleted. To make this happen (updating the IP/MAC details per VM), ND/ARP-SF communicates (using APIs (e.g. REST) preferably in pub/sub manner) with a controller 240 (which can be either Virtual Infra Manager (VIM) such as vCenter, Openstack, etc. or a controller such as Virtual Topology System (VTS), etc. depending on the deployment model). The controller 240 can populate an ARP-SF database 210.
Site1202 includes a network virtualization edge (NVE1) 204. A network Virtualization Edge (NVE) is a component in Network Virtualization Overlays Technology. An NVE can provide different types of virtualized network services to multiple tenants, i.e. an L2 service or an L3 service. Note that an NVE may be capable of providing both L2 and L3 services for a tenant.
An L2 NVE implements Ethernet LAN emulation, an Ethernet based multipoint service similar to an IETF VPLS, or EVPN service, where the Tenant Systems appear to be interconnected by a LAN environment over an L3 overlay. As such, an L2 NVE provides per-tenant virtual switching instance (L2 VNI), and L3 (IP/MPLS) tunneling encapsulation of tenant MAC frames across the underlay. Note that the control plane for an L2 NVE could be implemented locally on the NVE or in a separate control entity.
The site1202 can also include an address resolution protocol service function (ARP-SF) 208. ARP-SF 208 can maintain or access an ARP-SF database that cross references IP addresses/MAC addresses and remote NVEs for destination address resolution.
Other sites, such as site2212 and site3222 can include similar features. For example, site2212 includes NVE2214, VM2216 (instantiated VM), and ARP-SF 218. Site3222 includes NVE3224, instantiated VM3226, and ARP-SF 228. The sites can be connected through a cloud service provider 230. A controller 240 can provide orchestration and other control functions for each site or for all sites, collectively. Controller 240 can include a virtual infrastructure management (VIM) network element. In embodiments, the controller 240 can populate the APR-SF database 210. In embodiments, the ARP-SF database 210 can also be populated by the NVE forwarding table.
In the topology 200 shown in
As shown in
NVE1 on receiving the reply can use the details (IP/MAC and remoteNVE in metadata) to update NVE's forwarding table (e.g., cache table, shown in
In embodiments, the NVE could be configured to not redirect the ND/ARP reply for certain ranges of IP prefixes to avoid having the NVE try to resolve requests originated in local sites (since the underlay or overlay could implicitly resolve such requests).
In some embodiments, the VM1 can floods a request for VM10206n, which is in the L2 Site1202. All nodes in L2Site1 (including NVE1 and VM10) will receive the request. NVE1 will encapsulate with NSH header and forward to ARP-SF. Since VM10 is local, ARP-SF will simply ignore it. In the meantime, VM10206n will reply back to VM1206a with the address resolution.
In
The above concept does not require the NVE to be loaded with details of all other nodes in remote sites. Instead uses a scalable manner of spinning ARP-SF instances as required and have the NVE to redirect the request to ARP-SF and thereby reduce the flooding.
VM Move Scenario:
When VM1206a sends a new ARP request for the MAC address for VM2216 within an L2 site and if the local NVE1204 does not have an entry for that MAC in its forwarding table, then NVE1204 simply relies on the process (as described above) to learn the latest binding from ARP-SF 208.
However, if NVE1204 does have an entry (which might be stale) for that MAC for VM2216 in its forwarding table (pointing to the old remote NVE2214), then one of two embodiments could apply (depending on Stateful or Stateless ARP-SF logic):
(a) Stateful ARP-SF: a stateful ARP-SF would retain the identity of each NVE that interacted with ARP-SF for each IP/MAC. The stateful ARP-SF could send the updated IP/MAC: NVE binding info to NVE on an unsolicited basis using a NSH (new flag could be set), as soon as ARP-SF learns about the updated info (from the controller 240).
(b) Stateless ARP-SF: A stateless ARP-SF does not keep track of which NVE interacted for what IP/MAC:NVE binding. The NVE would follow the current dataplane learning (and flooding) to update its local forwarding table. Note that given the redirection by remote NVE, there would be minimal or no loss.
The above concepts do not require the NVE to be loaded with details of all other nodes in remote sites. Instead, APR-SF instances are spun up scalably and as required and have the NVE to redirect the request to ARP-SF to reduce the flooding.
When a VM is torn down, the VIM/controller 240 can delete the entry from the local ARP-SF instance or from any ARP-SF instance under the control of the VIM/controller 240. In some embodiments, an ARP-SF instance that has an entry deleted can alert other ARP-SF instances to delete entries.
The ARP-SF can look up a destination address for the destination VM from a database stored with, associated with, or accessible by the ARP-SF (408). If the address is not in the table, the ARP-SF can generate a reply with a flag in the reply metadata indicating there is no entry for the destination address for the destination VM (412). The ARP-SF can send the reply to the NVE. The NVE can flood the ND/ARP to other NVEs in the network.
If the address is in the ARP-SF table, the ARP-SF can determine whether the address is local to the site of the requesting VM (416). If the destination VM is local, then the ARP-SF can ignore the ND/ARP request because the local VM will respond to the requesting VM (418).
If the destination VM is not local, then the ARP-SF can generate an ARP reply (420). The ARP-SF can encapsulate the ARP reply with an NSH header (along with the remoteNVE associated with that entry in the NSH metadata). The ARP-SF can unicast the encapsulated ARP reply to NVE that redirected the ND/ARP request (422).
At the NVE, the NVE can decapsulate the ARP reply and forward the ARP reply to the requesting VM (424). The NVE can also update its forwarding table with the address in the ARP reply.
In that case, the NVE 504 would receive the IP/MAC details from the controller 540 and populate in BGP table 510 (or other local control plane table). VM1506 would send the ARP to NV/PE1504, and NV/PE1504 would look into border gate protocol (BGP) table 510 for that destination IP. If the address exists in the BGP table 510, then the NVE 504 can use the incoming ARP request as a trigger to install the IP/MAC address in the forwarding table 508 of the NVE 504. The NVE 504 can send the ARP reply to VM1506.
After not being used for a predetermined amount of time, the address information can be purged from forwarding table, but not from the BGP table 510 unless the controller 540 updates the BGP table 510 due to VM tear down/spin up and/or VM migration.
In
In
Basics of Network Service Chaining or Service Function Chains in a Network
To accommodate agile networking and flexible provisioning of network nodes in the network, Service Function Chains (SFC) can be used to ensure an ordered set of Service Functions (SF) to be applied to packets and/or frames of a traffic flow. SFCs provides a method for deploying SFs in a way that enables dynamic ordering and topological independence of those SFs. A service function chain can define an ordered set of service functions that is applied to packets and/or frames of a traffic flow, where the ordered set of service functions are selected as a result of classification. The implied order may not be a linear progression as the architecture allows for nodes that copy to more than one branch. The term service chain is often used as shorthand for service function chain.
A service function can be responsible for specific treatment of received packets. A service function can act at the network layer or other OSI layers (e.g., application layer, presentation layer, session layer, transport layer, data link layer, and physical link layer). A service function can be a virtual instance or be embedded in a physical network element such as a service node. When a service function or other modules of a service node is executed by the at least one processors of the service node, the service function or other modules can be configured to implement any one of the methods described herein. Multiple service functions can be embedded in the same network element. Multiple instances of the service function can be enabled in the same administrative SFC-enabled domain. A non-exhaustive list of SFs includes: firewalls, WAN and application acceleration, Deep Packet Inspection (DPI), server load balancers, NAT44, NAT64, HOST_ID injection, HTTP Header Enrichment functions, TCP optimizer, etc. An SF may be SFC encapsulation aware, that is it receives, and acts on information in the SFC encapsulation, or unaware in which case data forwarded to the service does not contain the SFC encapsulation.
A Service Node (SN) can be a physical network element (or a virtual element embedded on a physical network element) that hosts one or more service functions (SFs) and has one or more network locators associated with it for reachability and service delivery. In many standardization documents, “service functions” can refer to the service nodes described herein as having one or more service functions hosted thereon. Service Function Path (SFP) (or sometimes referred simply as service path) relates to the instantiation of a SFC in the network. Packets follow a service path from a classifier through the requisite service functions.
Network Service Header (NSH) Encapsulation
Generally speaking, an NSH includes service path information, and NSH is added to a packet or frame. For instance, an NSH can include a data plane header added to packets or frames. Effectively, the NSH creates a service plane. The NSH includes information for service chaining, and in some cases, the NSH can include metadata added and/or consumed by service nodes or service functions. The packets and NSH are encapsulated in an outer header for transport. To implement a service path, a network element such as a service classifier (SCL) or some other suitable SFC-aware network element can process packets or frames of a traffic flow and performs NSH encapsulation according to a desired policy for the traffic flow.
The service classification function 808 can process a packet of a traffic flow and determine whether the packet requires servicing and correspondingly which service path to follow to apply the appropriate service. The determination can be performed based on business policies and/or rules stored in memory 806. Once the determination of the service path is made, service header encapsulator 810 generates an appropriate NSH having identification information for the service path and adds the NSH to the packet. The service header encapsulator 810 provides an outer encapsulation to forward the packet to the start of the service path. Other SFC-aware network elements are thus able to process the NSH while other non-SFC-aware network elements would simply forward the encapsulated packets as is. Besides inserting an NSH, network element 802 can also remove the NSH if the service classification function 808 determines the packet does not require servicing.
Network Service Headers
A network service header (NSH) can include a (e.g., 64-bit) base header, and one or more context headers. Generally speaking, the base header provides information about the service header and service path identification (e.g., a service path identifier), and context headers can carry opaque metadata (such as the metadata described herein reflecting the result of classification). For instance, an NSH can include a 4-byte base header, a 4-byte service path header, and optional context headers. The base header can provide information about the service header and the payload protocol. The service path header can provide path identification and location within a path. The (variable length) context headers can carry opaque metadata and variable length encoded information. The one or more optional context headers make up a context header section in the NSH. For instance, the context header section can include one or more context header fields having pieces of information therein, describing the packet/frame. Based on the information in the base header, a service function of a service node can derive policy selection from the NSH. Context headers shared in the NSH can provide a range of service-relevant information such as traffic classification. Service functions can use NSH to select local service policy.
Service Nodes and Proxy Nodes
Once properly encapsulated, the packet having the NSF is then forwarded to one or more service nodes where service(s) can be applied to the packet/frame.
Within the context of the application, “metadata” refers to one or more pieces of information (e.g., bits of data, encoded values) in a context header section of a network service header. Metadata can refer to contents of the entire context header section, which can include the contents of one or more context header fields describing various attributes of the packet/frame. Metadata can also refer to contents of one individual context header field or a subset of context header fields in the context header section.
Moreover, the terms “first service node” and “second service node” does not necessarily imply that the “first service node” and the “second service node” are the first and second service nodes at the beginning of the service path that the packet/frame reaches as the packet/frame traverses over the service path. For instance, the first service node can be any suitable one of the service nodes among many service nodes in the service path (e.g., third one the packet/frame reaches as it traverses the service path, fourth one, fifth one, etc.). The second service node can be any suitable one of the service node(s) subsequent to the first service node downstream in the service path.
Within the context of the disclosure, a network used herein represents a series of points, nodes, or network elements of interconnected communication paths for receiving and transmitting packets of information that propagate through a communication system. A network offers communicative interface between sources and/or hosts, and may be any local area network (LAN), wireless local area network (WLAN), metropolitan area network (MAN), Intranet, Extranet, Internet, WAN, virtual private network (VPN), or any other appropriate architecture or system that facilitates communications in a network environment depending on the network topology. A network can comprise any number of hardware or software elements coupled to (and in communication with) each other through a communications medium.
In one particular instance, the architecture of the present disclosure can be associated with a service provider deployment. In other examples, the architecture of the present disclosure would be equally applicable to other communication environments, such as an enterprise wide area network (WAN) deployment, The architecture of the present disclosure may include a configuration capable of transmission control protocol/internet protocol (TCP/IP) communications for the transmission and/or reception of packets in a network.
As used herein in this Specification, the term ‘network element’ is meant to encompass any of the aforementioned elements, as well as servers (physical or virtually implemented on physical hardware), machines (physical or virtually implemented on physical hardware), end user devices, routers, switches, cable boxes, gateways, bridges, loadbalancers, firewalls, inline service nodes, proxies, processors, modules, or any other suitable device, component, element, proprietary appliance, or object operable to exchange, receive, and transmit information in a network environment. These network elements may include any suitable hardware, software, components, modules, interfaces, or objects that facilitate the network service header features/operations thereof. This may be inclusive of appropriate algorithms and communication protocols that allow for the effective exchange of data or information.
In one implementation, nodes with NSH capabilities may include software to achieve (or to foster) the functions discussed herein for providing the NSH-related features/functions where the software is executed on one or more processors to carry out the functions. This could include the implementation of instances of service functions, service header processors, metadata augmentation modules and/or any other suitable element that would foster the activities discussed herein. Additionally, each of these elements can have an internal structure (e.g., a processor, a memory element, etc.) to facilitate some of the operations described herein. In other embodiments, these functions may be executed externally to these elements, or included in some other network element to achieve the intended functionality. Alternatively, these nodes may include software (or reciprocating software) that can coordinate with other network elements in order to achieve the functions described herein. In still other embodiments, one or several devices may include any suitable algorithms, hardware, software, components, modules, interfaces, or objects that facilitate the operations thereof.
In certain example implementations, the NSH-related functions outlined herein may be implemented by logic encoded in one or more non-transitory, tangible media (e.g., embedded logic provided in an application specific integrated circuit [ASIC], digital signal processor [DSP] instructions, software [potentially inclusive of object code and source code] to be executed by one or more processors, or other similar machine, etc.). In some of these instances, one or more memory elements can store data used for the operations described herein. This includes the memory element being able to store instructions (e.g., software, code, etc.) that are executed to carry out the activities described in this Specification. The memory element is further configured to store databases or metadata disclosed herein. The processor can execute any type of instructions associated with the data to achieve the operations detailed herein in this Specification. In one example, the processor could transform an element or an article (e.g., data) from one state or thing to another state or thing. In another example, the activities outlined herein may be implemented with fixed logic or programmable logic (e.g., software/computer instructions executed by the processor) and the elements identified herein could be some type of a programmable processor, programmable digital logic (e.g., a field programmable gate array [FPGA], an erasable programmable read only memory (EPROM), an electrically erasable programmable ROM (EEPROM)) or an ASIC that includes digital logic, software, code, electronic instructions, or any suitable combination thereof.
Any of these elements (e.g., the network elements, service nodes, etc.) can include memory elements for storing information to be used in achieving the NSH-related features, as outlined herein. Additionally, each of these devices may include a processor that can execute software or an algorithm to perform the NSH-related features as discussed in this Specification. These devices may further keep information in any suitable memory element [random access memory (RAM), ROM, EPROM, EEPROM, ASIC, etc.], software, hardware, or in any other suitable component, device, element, or object where appropriate and based on particular needs. Any of the memory items discussed herein should be construed as being encompassed within the broad term ‘memory element.’ Similarly, any of the potential processing elements, modules, and machines described in this Specification should be construed as being encompassed within the broad term ‘processor.’ Each of the network elements can also include suitable interfaces for receiving, transmitting, and/or otherwise communicating data or information in a network environment.
Additionally, it should be noted that with the examples provided above, interaction may be described in terms of two, three, or four network elements. However, this has been done for purposes of clarity and example only. In certain cases, it may be easier to describe one or more of the functionalities of a given set of flows by only referencing a limited number of network elements. It should be appreciated that the systems described herein are readily scalable and, further, can accommodate a large number of components, as well as more complicated/sophisticated arrangements and configurations. Accordingly, the examples provided should not limit the scope or inhibit the broad techniques of using and augmenting NSH metadata, as potentially applied to a myriad of other architectures.
It is also important to note that the various steps described herein illustrate only some of the possible scenarios that may be executed by, or within, the nodes with NSH capabilities described herein. Some of these steps may be deleted or removed where appropriate, or these steps may be modified or changed considerably without departing from the scope of the present disclosure. In addition, a number of these operations have been described as being executed concurrently with, or in parallel to, one or more additional operations. However, the timing of these operations may be altered considerably. The preceding operational flows have been offered for purposes of example and discussion. Substantial flexibility is provided by nodes with NSH capabilities in that any suitable arrangements, chronologies, configurations, and timing mechanisms may be provided without departing from the teachings of the present disclosure.
It should also be noted that many of the previous discussions may imply a single client-server relationship. In reality, there is a multitude of servers in the delivery tier in certain implementations of the present disclosure. Moreover, the present disclosure can readily be extended to apply to intervening servers further upstream in the architecture, though this is not necessarily correlated to the ‘m’ clients that are passing through the ‘n’ servers. Any such permutations, scaling, and configurations are clearly within the broad scope of the present disclosure.
Numerous other changes, substitutions, variations, alterations, and modifications may be ascertained to one skilled in the art and it is intended that the present disclosure encompass all such changes, substitutions, variations, alterations, and modifications as falling within the scope of the appended claims. In order to assist the United States Patent and Trademark Office (USPTO) and, additionally, any readers of any patent issued on this application in interpreting the claims appended hereto, Applicant wishes to note that the Applicant: (a) does not intend any of the appended claims to invoke paragraph six (6) of 35 U.S.C. section 112 as it exists on the date of the filing hereof unless the words “means for” or “step for” are specifically used in the particular claims; and (b) does not intend, by any statement in the specification, to limit this disclosure in any way that is not otherwise reflected in the appended claims.
Number | Name | Date | Kind |
---|---|---|---|
5812773 | Norin | Sep 1998 | A |
5889896 | Meshinsky et al. | Mar 1999 | A |
6108782 | Fletcher et al. | Aug 2000 | A |
6178453 | Mattaway et al. | Jan 2001 | B1 |
6298153 | Oishi | Oct 2001 | B1 |
6343290 | Cossins et al. | Jan 2002 | B1 |
6643260 | Kloth et al. | Nov 2003 | B1 |
6683873 | Kwok et al. | Jan 2004 | B1 |
6721804 | Rubin et al. | Apr 2004 | B1 |
6733449 | Krishnamurthy et al. | May 2004 | B1 |
6735631 | Oehrke et al. | May 2004 | B1 |
6885670 | Regula | Apr 2005 | B1 |
6996615 | McGuire | Feb 2006 | B1 |
7054930 | Cheriton | May 2006 | B1 |
7058706 | Lyer et al. | Jun 2006 | B1 |
7062571 | Dale et al. | Jun 2006 | B1 |
7076397 | Ding et al. | Jul 2006 | B2 |
7111177 | Chauvel et al. | Sep 2006 | B1 |
7212490 | Kao et al. | May 2007 | B1 |
7277948 | Igarashi et al. | Oct 2007 | B2 |
7313667 | Pullela et al. | Dec 2007 | B1 |
7379846 | Williams et al. | May 2008 | B1 |
7480672 | Hahn et al. | Jan 2009 | B2 |
7496043 | Leong et al. | Feb 2009 | B1 |
7536476 | Alleyne | May 2009 | B1 |
7567504 | Darling et al. | Jul 2009 | B2 |
7606147 | Luft et al. | Oct 2009 | B2 |
7647594 | Togawa | Jan 2010 | B2 |
7684322 | Sand et al. | Mar 2010 | B2 |
7773510 | Back et al. | Aug 2010 | B2 |
7808897 | Mehta et al. | Oct 2010 | B1 |
7881957 | Cohen et al. | Feb 2011 | B1 |
7917647 | Cooper et al. | Mar 2011 | B2 |
8010598 | Tanimoto | Aug 2011 | B2 |
8028071 | Mahalingam et al. | Sep 2011 | B1 |
8041714 | Aymeloglu et al. | Oct 2011 | B2 |
8121117 | Amdahl et al. | Feb 2012 | B1 |
8171415 | Appleyard et al. | May 2012 | B2 |
8234377 | Cohn | Jul 2012 | B2 |
8244559 | Horvitz et al. | Aug 2012 | B2 |
8250215 | Stienhans et al. | Aug 2012 | B2 |
8280880 | Aymeloglu et al. | Oct 2012 | B1 |
8284664 | Aybay et al. | Oct 2012 | B1 |
8284776 | Petersen | Oct 2012 | B2 |
8301746 | Head et al. | Oct 2012 | B2 |
8345692 | Smith | Jan 2013 | B2 |
8406141 | Couturier et al. | Mar 2013 | B1 |
8407413 | Yucel et al. | Mar 2013 | B1 |
8448171 | Donnellan et al. | May 2013 | B2 |
8477610 | Zuo et al. | Jul 2013 | B2 |
8495252 | Lais et al. | Jul 2013 | B2 |
8495356 | Ashok et al. | Jul 2013 | B2 |
8510469 | Portolani | Aug 2013 | B2 |
8514868 | Hill | Aug 2013 | B2 |
8532108 | Li et al. | Sep 2013 | B2 |
8533687 | Greifeneder et al. | Sep 2013 | B1 |
8547974 | Guruswamy et al. | Oct 2013 | B1 |
8560639 | Murphy et al. | Oct 2013 | B2 |
8560663 | Baucke et al. | Oct 2013 | B2 |
8589543 | Dutta et al. | Nov 2013 | B2 |
8590050 | Nagpal et al. | Nov 2013 | B2 |
8611356 | Yu et al. | Dec 2013 | B2 |
8612625 | Andries et al. | Dec 2013 | B2 |
8630291 | Shaffer et al. | Jan 2014 | B2 |
8639787 | Lagergren et al. | Jan 2014 | B2 |
8656024 | Krishnan et al. | Feb 2014 | B2 |
8660129 | Brendel et al. | Feb 2014 | B1 |
8719804 | Jain | May 2014 | B2 |
8775576 | Hebert et al. | Jul 2014 | B2 |
8797867 | Chen et al. | Aug 2014 | B1 |
8805951 | Faibish et al. | Aug 2014 | B1 |
8850182 | Fritz et al. | Sep 2014 | B1 |
8856339 | Mestery et al. | Oct 2014 | B2 |
8909780 | Dickinson et al. | Dec 2014 | B1 |
8909928 | Ahmad et al. | Dec 2014 | B2 |
8918510 | Gmach et al. | Dec 2014 | B2 |
8924720 | Raghuram et al. | Dec 2014 | B2 |
8930747 | Levijarvi et al. | Jan 2015 | B2 |
8938775 | Roth et al. | Jan 2015 | B1 |
8959526 | Kansal et al. | Feb 2015 | B2 |
8977754 | Curry, Jr. et al. | Mar 2015 | B2 |
9009697 | Breiter et al. | Apr 2015 | B2 |
9015324 | Jackson | Apr 2015 | B2 |
9043439 | Bicket et al. | May 2015 | B2 |
9049115 | Rajendran et al. | Jun 2015 | B2 |
9063789 | Beaty et al. | Jun 2015 | B2 |
9065727 | Liu et al. | Jun 2015 | B1 |
9075649 | Bushman et al. | Jul 2015 | B1 |
9104334 | Madhusudana et al. | Aug 2015 | B2 |
9164795 | Vincent | Oct 2015 | B1 |
9167050 | Durazzo et al. | Oct 2015 | B2 |
9201701 | Boldyrev et al. | Dec 2015 | B2 |
9201704 | Chang et al. | Dec 2015 | B2 |
9203784 | Chang et al. | Dec 2015 | B2 |
9223634 | Chang et al. | Dec 2015 | B2 |
9244776 | Koza et al. | Jan 2016 | B2 |
9251114 | Ancin et al. | Feb 2016 | B1 |
9264478 | Hon et al. | Feb 2016 | B2 |
9313048 | Chang et al. | Apr 2016 | B2 |
9361192 | Smith et al. | Jun 2016 | B2 |
9380075 | He et al. | Jun 2016 | B2 |
9432294 | Sharma et al. | Aug 2016 | B1 |
9444744 | Sharma et al. | Sep 2016 | B1 |
9473365 | Melander et al. | Oct 2016 | B2 |
9503530 | Niedzielski | Nov 2016 | B1 |
9558078 | Farlee et al. | Jan 2017 | B2 |
9613078 | Vermeulen et al. | Apr 2017 | B2 |
9628471 | Sundaram et al. | Apr 2017 | B1 |
9632858 | Sasturkar et al. | Apr 2017 | B2 |
9658876 | Chang et al. | May 2017 | B2 |
9692802 | Bicket et al. | Jun 2017 | B2 |
9727359 | Tsirkin | Aug 2017 | B2 |
9736063 | Wan et al. | Aug 2017 | B2 |
9755858 | Bagepalli et al. | Sep 2017 | B2 |
9792245 | Raghavan et al. | Oct 2017 | B2 |
9804988 | Ayoub et al. | Oct 2017 | B1 |
9954783 | Thirumurthi et al. | Apr 2018 | B1 |
20020004900 | Patel | Jan 2002 | A1 |
20020073337 | Ioele et al. | Jun 2002 | A1 |
20020143928 | Maltz et al. | Oct 2002 | A1 |
20020166117 | Abrams et al. | Nov 2002 | A1 |
20020174216 | Shorey et al. | Nov 2002 | A1 |
20030018591 | Komisky | Jan 2003 | A1 |
20030056001 | Mate et al. | Mar 2003 | A1 |
20030228585 | Inoko et al. | Dec 2003 | A1 |
20040004941 | Malan et al. | Jan 2004 | A1 |
20040095237 | Chen et al. | May 2004 | A1 |
20040131059 | Ayyakad et al. | Jul 2004 | A1 |
20040264481 | Darling et al. | Dec 2004 | A1 |
20050060418 | Sorokopud | Mar 2005 | A1 |
20050125424 | Herriott et al. | Jun 2005 | A1 |
20060059558 | Selep et al. | Mar 2006 | A1 |
20060104286 | Cheriton | May 2006 | A1 |
20060120575 | Ahn et al. | Jun 2006 | A1 |
20060126665 | Ward et al. | Jun 2006 | A1 |
20060146825 | Hofstaedter et al. | Jul 2006 | A1 |
20060155875 | Cheriton | Jul 2006 | A1 |
20060168338 | Bruegl et al. | Jul 2006 | A1 |
20060294207 | Barsness et al. | Dec 2006 | A1 |
20070011330 | Dinker et al. | Jan 2007 | A1 |
20070174663 | Crawford et al. | Jul 2007 | A1 |
20070223487 | Kajekar et al. | Sep 2007 | A1 |
20070242830 | Conrado et al. | Oct 2007 | A1 |
20080005293 | Bhargava et al. | Jan 2008 | A1 |
20080084880 | Dharwadkar | Apr 2008 | A1 |
20080165778 | Ertemalp | Jul 2008 | A1 |
20080198752 | Fan et al. | Aug 2008 | A1 |
20080201711 | Amir Husain | Aug 2008 | A1 |
20080235755 | Blaisdell et al. | Sep 2008 | A1 |
20090006527 | Gingell, Jr. et al. | Jan 2009 | A1 |
20090010277 | Halbraich et al. | Jan 2009 | A1 |
20090019367 | Cavagnari et al. | Jan 2009 | A1 |
20090031312 | Mausolf et al. | Jan 2009 | A1 |
20090083183 | Rao et al. | Mar 2009 | A1 |
20090138763 | Arnold | May 2009 | A1 |
20090177775 | Radia et al. | Jul 2009 | A1 |
20090178058 | Stillwell, III et al. | Jul 2009 | A1 |
20090182874 | Morford et al. | Jul 2009 | A1 |
20090265468 | Annambhotla et al. | Oct 2009 | A1 |
20090265753 | Anderson et al. | Oct 2009 | A1 |
20090293056 | Ferris | Nov 2009 | A1 |
20090300608 | Ferris et al. | Dec 2009 | A1 |
20090313562 | Appleyard et al. | Dec 2009 | A1 |
20090323706 | Germain et al. | Dec 2009 | A1 |
20090328031 | Pouyadou et al. | Dec 2009 | A1 |
20100042720 | Stienhans et al. | Feb 2010 | A1 |
20100061250 | Nugent | Mar 2010 | A1 |
20100115341 | Baker et al. | May 2010 | A1 |
20100131765 | Bromley et al. | May 2010 | A1 |
20100191783 | Mason et al. | Jul 2010 | A1 |
20100192157 | Jackson et al. | Jul 2010 | A1 |
20100205601 | Abbas et al. | Aug 2010 | A1 |
20100211782 | Auradkar et al. | Aug 2010 | A1 |
20100217886 | Seren et al. | Aug 2010 | A1 |
20100293270 | Augenstein et al. | Nov 2010 | A1 |
20100318609 | Lahiri et al. | Dec 2010 | A1 |
20100325199 | Park et al. | Dec 2010 | A1 |
20100325257 | Goel et al. | Dec 2010 | A1 |
20100325441 | Laurie et al. | Dec 2010 | A1 |
20100333116 | Prahlad et al. | Dec 2010 | A1 |
20110016214 | Jackson | Jan 2011 | A1 |
20110035754 | Srinivasan | Feb 2011 | A1 |
20110055396 | Dehaan | Mar 2011 | A1 |
20110055398 | Dehaan et al. | Mar 2011 | A1 |
20110055470 | Portolani | Mar 2011 | A1 |
20110072489 | Parann-Nissany | Mar 2011 | A1 |
20110075667 | Li et al. | Mar 2011 | A1 |
20110110382 | Jabr et al. | May 2011 | A1 |
20110116443 | Yu et al. | May 2011 | A1 |
20110126099 | Anderson et al. | May 2011 | A1 |
20110138055 | Daly et al. | Jun 2011 | A1 |
20110145413 | Dawson et al. | Jun 2011 | A1 |
20110145657 | Bishop et al. | Jun 2011 | A1 |
20110173303 | Rider | Jul 2011 | A1 |
20110185063 | Head et al. | Jul 2011 | A1 |
20110199902 | Leavy et al. | Aug 2011 | A1 |
20110213687 | Ferris et al. | Sep 2011 | A1 |
20110213966 | Fu et al. | Sep 2011 | A1 |
20110219434 | Betz et al. | Sep 2011 | A1 |
20110231715 | Kunii et al. | Sep 2011 | A1 |
20110231899 | Pulier et al. | Sep 2011 | A1 |
20110239039 | Dieffenbach et al. | Sep 2011 | A1 |
20110252327 | Awasthi et al. | Oct 2011 | A1 |
20110261811 | Battestilli et al. | Oct 2011 | A1 |
20110261828 | Smith | Oct 2011 | A1 |
20110276675 | Singh et al. | Nov 2011 | A1 |
20110276951 | Jain | Nov 2011 | A1 |
20110295998 | Ferris et al. | Dec 2011 | A1 |
20110305149 | Scott et al. | Dec 2011 | A1 |
20110307531 | Gaponenko et al. | Dec 2011 | A1 |
20110320870 | Kenigsberg et al. | Dec 2011 | A1 |
20120005724 | Lee | Jan 2012 | A1 |
20120023418 | Frields et al. | Jan 2012 | A1 |
20120054367 | Ramakrishnan et al. | Mar 2012 | A1 |
20120072318 | Akiyama et al. | Mar 2012 | A1 |
20120072578 | Alam | Mar 2012 | A1 |
20120072581 | Tung et al. | Mar 2012 | A1 |
20120072985 | Davne et al. | Mar 2012 | A1 |
20120072992 | Arasaratnam et al. | Mar 2012 | A1 |
20120084445 | Brock et al. | Apr 2012 | A1 |
20120084782 | Chou et al. | Apr 2012 | A1 |
20120096134 | Suit | Apr 2012 | A1 |
20120102193 | Rathore et al. | Apr 2012 | A1 |
20120102199 | Hopmann et al. | Apr 2012 | A1 |
20120131174 | Ferris et al. | May 2012 | A1 |
20120137215 | Kawara | May 2012 | A1 |
20120158967 | Sedayao et al. | Jun 2012 | A1 |
20120159097 | Jennas, II et al. | Jun 2012 | A1 |
20120166649 | Watanabe et al. | Jun 2012 | A1 |
20120167094 | Suit | Jun 2012 | A1 |
20120173541 | Venkataramani | Jul 2012 | A1 |
20120173710 | Rodriguez | Jul 2012 | A1 |
20120179909 | Sagi et al. | Jul 2012 | A1 |
20120180044 | Donnellan et al. | Jul 2012 | A1 |
20120182891 | Lee et al. | Jul 2012 | A1 |
20120185632 | Lais et al. | Jul 2012 | A1 |
20120185913 | Martinez et al. | Jul 2012 | A1 |
20120192016 | Gotesdyner et al. | Jul 2012 | A1 |
20120192075 | Ebtekar et al. | Jul 2012 | A1 |
20120201135 | Ding et al. | Aug 2012 | A1 |
20120203908 | Beaty et al. | Aug 2012 | A1 |
20120204169 | Breiter et al. | Aug 2012 | A1 |
20120204187 | Breiter et al. | Aug 2012 | A1 |
20120214506 | Skaaksrud et al. | Aug 2012 | A1 |
20120222106 | Kuehl | Aug 2012 | A1 |
20120236716 | Anbazhagan et al. | Sep 2012 | A1 |
20120240113 | Hur | Sep 2012 | A1 |
20120265976 | Spiers et al. | Oct 2012 | A1 |
20120272025 | Park et al. | Oct 2012 | A1 |
20120281706 | Agarwal et al. | Nov 2012 | A1 |
20120281708 | Chauhan et al. | Nov 2012 | A1 |
20120290647 | Ellison et al. | Nov 2012 | A1 |
20120297238 | Watson et al. | Nov 2012 | A1 |
20120311106 | Morgan | Dec 2012 | A1 |
20120311568 | Jansen | Dec 2012 | A1 |
20120324092 | Brown et al. | Dec 2012 | A1 |
20120324114 | Dutta et al. | Dec 2012 | A1 |
20130003567 | Gallant et al. | Jan 2013 | A1 |
20130013248 | Brugler et al. | Jan 2013 | A1 |
20130036213 | Hasan et al. | Feb 2013 | A1 |
20130044636 | Koponen et al. | Feb 2013 | A1 |
20130066940 | Shao | Mar 2013 | A1 |
20130069950 | Adam et al. | Mar 2013 | A1 |
20130080509 | Wang | Mar 2013 | A1 |
20130080624 | Nagai et al. | Mar 2013 | A1 |
20130091557 | Gurrapu | Apr 2013 | A1 |
20130097601 | Podvratnik et al. | Apr 2013 | A1 |
20130104140 | Meng et al. | Apr 2013 | A1 |
20130111540 | Sabin | May 2013 | A1 |
20130117337 | Dunham | May 2013 | A1 |
20130124712 | Parker | May 2013 | A1 |
20130125124 | Kempf et al. | May 2013 | A1 |
20130138816 | Kuo et al. | May 2013 | A1 |
20130144978 | Jain et al. | Jun 2013 | A1 |
20130152076 | Patel | Jun 2013 | A1 |
20130152175 | Hromoko et al. | Jun 2013 | A1 |
20130159097 | Schory et al. | Jun 2013 | A1 |
20130159496 | Hamilton et al. | Jun 2013 | A1 |
20130160008 | Cawlfield et al. | Jun 2013 | A1 |
20130162753 | Hendrickson et al. | Jun 2013 | A1 |
20130169666 | Pacheco et al. | Jul 2013 | A1 |
20130179941 | McGloin et al. | Jul 2013 | A1 |
20130182712 | Aguayo et al. | Jul 2013 | A1 |
20130185413 | Beaty et al. | Jul 2013 | A1 |
20130185433 | Zhu et al. | Jul 2013 | A1 |
20130191106 | Kephart et al. | Jul 2013 | A1 |
20130198050 | Shroff et al. | Aug 2013 | A1 |
20130198374 | Zalmanovitch et al. | Aug 2013 | A1 |
20130204849 | Chacko | Aug 2013 | A1 |
20130232491 | Radhakrishnan et al. | Sep 2013 | A1 |
20130232492 | Wang | Sep 2013 | A1 |
20130246588 | Borowicz et al. | Sep 2013 | A1 |
20130250770 | Zou et al. | Sep 2013 | A1 |
20130254415 | Fullen et al. | Sep 2013 | A1 |
20130262347 | Dodson | Oct 2013 | A1 |
20130283364 | Chang et al. | Oct 2013 | A1 |
20130297769 | Chang et al. | Nov 2013 | A1 |
20130315246 | Zhang | Nov 2013 | A1 |
20130318240 | Hebert et al. | Nov 2013 | A1 |
20130318546 | Kothuri et al. | Nov 2013 | A1 |
20130339949 | Spiers et al. | Dec 2013 | A1 |
20140006481 | Frey et al. | Jan 2014 | A1 |
20140006535 | Reddy | Jan 2014 | A1 |
20140006585 | Dunbar et al. | Jan 2014 | A1 |
20140019639 | Ueno | Jan 2014 | A1 |
20140040473 | Ho et al. | Feb 2014 | A1 |
20140040883 | Tompkins | Feb 2014 | A1 |
20140052877 | Mao | Feb 2014 | A1 |
20140059310 | Du et al. | Feb 2014 | A1 |
20140074850 | Noel et al. | Mar 2014 | A1 |
20140075048 | Yuksel et al. | Mar 2014 | A1 |
20140075108 | Dong et al. | Mar 2014 | A1 |
20140075357 | Flores et al. | Mar 2014 | A1 |
20140075501 | Srinivasan et al. | Mar 2014 | A1 |
20140089727 | Cherkasova et al. | Mar 2014 | A1 |
20140098762 | Ghai et al. | Apr 2014 | A1 |
20140108985 | Scott et al. | Apr 2014 | A1 |
20140122560 | Ramey et al. | May 2014 | A1 |
20140136779 | Guha et al. | May 2014 | A1 |
20140140211 | Chandrasekaran et al. | May 2014 | A1 |
20140141720 | Princen et al. | May 2014 | A1 |
20140156557 | Zeng et al. | Jun 2014 | A1 |
20140160924 | Pfautz et al. | Jun 2014 | A1 |
20140164486 | Ravichandran et al. | Jun 2014 | A1 |
20140188825 | Muthukkaruppan et al. | Jul 2014 | A1 |
20140189095 | Lindberg et al. | Jul 2014 | A1 |
20140189125 | Amies et al. | Jul 2014 | A1 |
20140215471 | Cherkasova | Jul 2014 | A1 |
20140222953 | Karve et al. | Aug 2014 | A1 |
20140244851 | Lee | Aug 2014 | A1 |
20140245298 | Zhou et al. | Aug 2014 | A1 |
20140269266 | Filsfils et al. | Sep 2014 | A1 |
20140280805 | Sawalha | Sep 2014 | A1 |
20140282536 | Dave et al. | Sep 2014 | A1 |
20140282611 | Campbell et al. | Sep 2014 | A1 |
20140282669 | McMillan | Sep 2014 | A1 |
20140282889 | Ishaya et al. | Sep 2014 | A1 |
20140289200 | Kato | Sep 2014 | A1 |
20140297569 | Clark et al. | Oct 2014 | A1 |
20140297835 | Buys | Oct 2014 | A1 |
20140314078 | Jilani | Oct 2014 | A1 |
20140317261 | Shatzkamer et al. | Oct 2014 | A1 |
20140366155 | Chang et al. | Dec 2014 | A1 |
20140372567 | Ganesh et al. | Dec 2014 | A1 |
20150006470 | Mohan | Jan 2015 | A1 |
20150033086 | Sasturkar et al. | Jan 2015 | A1 |
20150043335 | Testicioglu et al. | Feb 2015 | A1 |
20150043576 | Dixon et al. | Feb 2015 | A1 |
20150052247 | Threefoot et al. | Feb 2015 | A1 |
20150052517 | Raghu et al. | Feb 2015 | A1 |
20150058382 | St Laurent et al. | Feb 2015 | A1 |
20150058459 | Amendjian et al. | Feb 2015 | A1 |
20150058557 | Madhusudana et al. | Feb 2015 | A1 |
20150070516 | Shoemake et al. | Mar 2015 | A1 |
20150071285 | Kumar et al. | Mar 2015 | A1 |
20150071289 | Shin | Mar 2015 | A1 |
20150089478 | Cheluvaraju et al. | Mar 2015 | A1 |
20150100471 | Curry, Jr. et al. | Apr 2015 | A1 |
20150106802 | Ivanov et al. | Apr 2015 | A1 |
20150106805 | Melander et al. | Apr 2015 | A1 |
20150109923 | Hwang | Apr 2015 | A1 |
20150117199 | Chinnaiah Sankaran et al. | Apr 2015 | A1 |
20150117458 | Gurkan et al. | Apr 2015 | A1 |
20150120914 | Wada et al. | Apr 2015 | A1 |
20150149828 | Mukerji et al. | May 2015 | A1 |
20150178133 | Phelan et al. | Jun 2015 | A1 |
20150215819 | Bosch et al. | Jul 2015 | A1 |
20150227405 | Jan et al. | Aug 2015 | A1 |
20150242204 | Hassine et al. | Aug 2015 | A1 |
20150249709 | Teng et al. | Sep 2015 | A1 |
20150271199 | Bradley et al. | Sep 2015 | A1 |
20150280980 | Bitar | Oct 2015 | A1 |
20150281067 | Wu | Oct 2015 | A1 |
20150281113 | Siciliano et al. | Oct 2015 | A1 |
20150309908 | Pearson et al. | Oct 2015 | A1 |
20150319063 | Zourzouvillys et al. | Nov 2015 | A1 |
20150326524 | Tankala et al. | Nov 2015 | A1 |
20150339210 | Kopp et al. | Nov 2015 | A1 |
20150373108 | Fleming et al. | Dec 2015 | A1 |
20150379062 | Vermeulen et al. | Dec 2015 | A1 |
20160011925 | Kulkarni et al. | Jan 2016 | A1 |
20160013990 | Kulkarni et al. | Jan 2016 | A1 |
20160062786 | Meng et al. | Mar 2016 | A1 |
20160065417 | Sapuram et al. | Mar 2016 | A1 |
20160094398 | Choudhury et al. | Mar 2016 | A1 |
20160094480 | Kulkarni et al. | Mar 2016 | A1 |
20160094643 | Jain et al. | Mar 2016 | A1 |
20160094894 | Inayatullah et al. | Mar 2016 | A1 |
20160099847 | Melander et al. | Apr 2016 | A1 |
20160099873 | Gerö et al. | Apr 2016 | A1 |
20160103838 | Sainani et al. | Apr 2016 | A1 |
20160105393 | Thakkar et al. | Apr 2016 | A1 |
20160127184 | Bursell | May 2016 | A1 |
20160134557 | Steinder et al. | May 2016 | A1 |
20160147676 | Cha et al. | May 2016 | A1 |
20160162436 | Raghavan et al. | Jun 2016 | A1 |
20160164914 | Madhav et al. | Jun 2016 | A1 |
20160188527 | Cherian et al. | Jun 2016 | A1 |
20160234071 | Nambiar et al. | Aug 2016 | A1 |
20160239399 | Babu et al. | Aug 2016 | A1 |
20160253078 | Ebtekar et al. | Sep 2016 | A1 |
20160254968 | Ebtekar et al. | Sep 2016 | A1 |
20160261564 | Foxhoven et al. | Sep 2016 | A1 |
20160277368 | Narayanaswamy et al. | Sep 2016 | A1 |
20160292611 | Boe et al. | Oct 2016 | A1 |
20160352682 | Chang | Dec 2016 | A1 |
20160378389 | Hrischuk et al. | Dec 2016 | A1 |
20170005948 | Melander et al. | Jan 2017 | A1 |
20170024260 | Chandrasekaran et al. | Jan 2017 | A1 |
20170026470 | Bhargava et al. | Jan 2017 | A1 |
20170034199 | Zaw | Feb 2017 | A1 |
20170041342 | Efremov et al. | Feb 2017 | A1 |
20170054659 | Ergin et al. | Feb 2017 | A1 |
20170063674 | Maskalik et al. | Mar 2017 | A1 |
20170097841 | Chang et al. | Apr 2017 | A1 |
20170099188 | Chang et al. | Apr 2017 | A1 |
20170104755 | Arregoces et al. | Apr 2017 | A1 |
20170118166 | Du | Apr 2017 | A1 |
20170126583 | Xia | May 2017 | A1 |
20170126615 | Chanda | May 2017 | A1 |
20170147297 | Krishnamurthy et al. | May 2017 | A1 |
20170163569 | Koganti | Jun 2017 | A1 |
20170171158 | Hoy et al. | Jun 2017 | A1 |
20170192823 | Karaje et al. | Jul 2017 | A1 |
20170264663 | Bicket et al. | Sep 2017 | A1 |
20170302521 | Lui et al. | Oct 2017 | A1 |
20170310556 | Knowles et al. | Oct 2017 | A1 |
20170317932 | Paramasivam | Nov 2017 | A1 |
20170339070 | Chang et al. | Nov 2017 | A1 |
20180069885 | Patterson et al. | Mar 2018 | A1 |
20180173372 | Greenspan et al. | Jun 2018 | A1 |
20180174060 | Velez-Rojas et al. | Jun 2018 | A1 |
20190158997 | Starsinic | May 2019 | A1 |
Number | Date | Country |
---|---|---|
101719930 | Jun 2010 | CN |
101394360 | Jul 2011 | CN |
102164091 | Aug 2011 | CN |
104320342 | Jan 2015 | CN |
105740084 | Jul 2016 | CN |
2228719 | Sep 2010 | EP |
2439637 | Apr 2012 | EP |
2645253 | Nov 2014 | EP |
10-2015-0070676 | May 2015 | KR |
M394537 | Dec 2010 | TW |
WO 2009155574 | Dec 2009 | WO |
WO 2010030915 | Mar 2010 | WO |
WO 2013158707 | Oct 2013 | WO |
Entry |
---|
U.S. Appl. No. 15/236,447, filed Aug. 14, 2016, entitled “Reducing ARP/ND Flooding in Cloud Environment,” Inventors: Nagendra Kumar Nainar, et al. |
Fang K., “LISP MAC-EID-TO-RLOC Mapping (LISP based L2VPN),” Network Working Group Internet Draft, draft-zhiyfang-lisp-mac-eid-00, Jan. 2012; 12 pages. |
Rabadan, J., et al., “Operational Aspects of Proxy-ARP/ND in EVPN Networks,” BESS Worksgroup Internet Draft, draft-snr-bess-evpn-proxy-arp-nd-02, Oct. 6, 2015; 22 pages. |
Amedro, Brian, et al., “An Efficient Framework for Running Applications on Clusters, Grids and Cloud,” 2010, 17 pages. |
Author Unknown, “A Look at DeltaCloud: The Multi-Cloud API,” Feb. 17, 2012, 4 pages. |
Author Unknown, “About Deltacloud,” Apache Software Foundation, Aug. 18, 2013, 1 page. |
Author Unknown, “Architecture for Managing Clouds, A White Paper from the Open Cloud Standards Incubator,” Version 1.0.0, Document No. DSP-IS0102, Jun. 18, 2010, 57 pages. |
Author Unknown, “Cloud Infrastructure Management Interface—Common Information Model (CIMI-CIM),” Document No. DSP0264, Version 1.0.0, Dec. 14, 2012, 21 pages. |
Author Unknown, “Cloud Infrastructure Management Interface (CIMI) Primer,” Document No. DSP2027, Version 1.0.1, Sep. 12, 2012, 30 pages. |
Author Unknown, “cloudControl Documentation,” Aug. 25, 2013, 14 pages. |
Author Unknown, “Interoperable Clouds, A White Paper from the Open Cloud Standards Incubator,” Version 1.0.0, Document No. DSP-IS0101, Nov. 11, 2009, 21 pages. |
Author Unknown, “Microsoft Cloud Edge Gateway (MCE) Series Appliance,” Iron Networks, Inc., 2014, 4 pages. |
Author Unknown, “Use Cases and Interactions for Managing Clouds, A White Paper from the Open Cloud Standards Incubator,” Version 1.0.0, Document No. DSP-IS00103, Jun. 16, 2010, 75 pages. |
Author Unknown, “Apache Ambari Meetup What's New,” Hortonworks Inc., Sep. 2013, 28 pages. |
Author Unknown, “Introduction,” Apache Ambari project, Apache Software Foundation, 2014, 1 page. |
Citrix, “Citrix StoreFront 2.0” White Paper, Proof of Concept Implementation Guide, Citrix Systems, Inc., 2013, 48 pages. |
Citrix, “CloudBridge for Microsoft Azure Deployment Guide,” 30 pages. |
Citrix, “Deployment Practices and Guidelines for NetScaler 10.5 on Amazon Web Services,” White Paper, citrix.com, 2014, 14 pages. |
Gedymin, Adam, “Cloud Computing with an emphasis on Google App Engine,” Sep. 2011, 146 pages. |
Good, Nathan A., “Use Apache Deltacloud to administer multiple instances with a single API,” Dec. 17, 2012, 7 pages. |
Kunz, Thomas, et al., “OmniCloud—The Secure and Flexible Use of Cloud Storage Services,” 2014, 30 pages. |
Logan, Marcus, “Hybrid Cloud Application Architecture for Elastic Java-Based Web Applications,” F5 Deployment Guide Version 1.1, 2016, 65 pages. |
Lynch, Sean, “Monitoring cache with Claspin” Facebook Engineering, Sep. 19, 2012, 5 pages. |
Meireles, Fernando Miguel Dias, “Integrated Management of Cloud Computing Resources,” 2013-2014, 286 pages. |
Mu, Shuai, et al., “uLibCloud: Providing High Available and Uniform Accessing to Multiple Cloud Storages,” 2012 IEEE, 8 pages. |
Sun, Aobing, et al., “IaaS Public Cloud Computing Platform Scheduling Model and Optimization Analysis,” Int. J. Communications, Network and System Sciences, 2011, 4, 803-811, 9 pages. |
Szymaniak, Michal, et al., “Latency-Driven Replica Placement”, vol. 47 No. 8, IPSJ Journal, Aug. 2006, 12 pages. |
Toews, Everett, “Introduction to Apache jclouds,” Apr. 7, 2014, 23 pages. |
Von Laszewski, Gregor, et al., “Design of a Dynamic Provisioning System for a Federated Cloud and Bare-metal Environment,” 2012, 8 pages. |
Ye, Xianglong, et al., “A Novel Blocks Placement Strategy for Hadoop,” 2012 IEEE/ACTS 11th International Conference on Computer and Information Science, 2012 IEEE, 5 pages. |
Author Unknown, “5 Benefits of a Storage Gateway in the Cloud,” Blog, TwinStrata, Inc., Jul. 25, 2012, XP055141645, 4 pages, https://web.archive.org/web/20120725092619/http://blog.twinstrata.com/2012/07/10//5-benefits-of-a-storage-gateway-in-the-cloud. |
Author Unknown, “Joint Cisco and VMWare Solution for Optimizing Virtual Desktop Delivery: Data Center 3.0: Solutions to Accelerate Data Center Virtualization,” Cisco Systems, Inc. and VMware, Inc., Sep. 2008, 10 pages. |
Author Unknown, “Open Data Center Alliance Usage: Virtual Machine (VM) Interoperability in a Hybrid Cloud Environment Rev. 1.2,” Open Data Center Alliance, Inc., 2013, 18 pages. |
Author Unknown, “Real-Time Performance Monitoring on Juniper Networks Devices, Tips and Tools for Assessing and Analyzing Network Efficiency,” Juniper Networks, Inc., May 2010, 35 pages. |
Beyer, Steffen, “Module “Data::Locations”?!,” YAPC::Europe, London, UK,ICA, Sep. 22-24, 2000, XP002742700, 15 pages. |
Borovick, Lucinda, et al., “Architecting the Network for the Cloud,” IDC White Paper, Jan. 2011, 8 pages. |
Bosch, Greg, “Virtualization,” last modified Apr. 2012 by B. Davison, 33 pages. |
Broadcasters Audience Research Board, “What's Next,” http://Iwww.barb.co.uk/whats-next, accessed Jul. 22, 2015, 2 pages. |
Cisco Systems, Inc. “Best Practices in Deploying Cisco Nexus 1000V Series Switches on Cisco UCS B and C Series Cisco UCS Manager Servers,” Cisco White Paper, Apr. 2011, 36 pages, http://www.cisco.com/en/US/prod/collateral/switches/ps9441/ps9902/white_paper_c11-558242.pdf. |
Cisco Systems, Inc., “Cisco Unified Network Services: Overcome Obstacles to Cloud-Ready Deployments,” Cisco White Paper, Jan. 2011, 6 pages. |
Cisco Systems, Inc., “Cisco Intercloud Fabric: Hybrid Cloud with Choice, Consistency, Control and Compliance,” Dec. 10, 2014, 22 pages. |
Cisco Technology, Inc., “Cisco Expands Videoscape TV Platform into the Cloud,” Jan. 6, 2014, Las Vegas, Nevada, Press Release, 3 pages. |
CSS Corp, “Enterprise Cloud Gateway (ECG)—Policy driven framework for managing multi-cloud environments,” original published on or about Feb. 11, 2012; 1 page; http://www.css-cloud.com/platform/enterprise-cloud-gateway.php. |
Herry, William, “Keep it Simple, Stupid: OpenStack nova-scheduler and its algorithm”, May 12, 2012, IBM, 12 pages. |
Hewlett-Packard Company, “Virtual context management on network devices”, Research Disclosure, vol. 564, No. 60, Apr. 1, 2011, Mason Publications, Hampshire, GB, Apr. 1, 2011, 524. |
Juniper Networks, Inc., “Recreating Real Application Traffic in Junosphere Lab,” Solution Brief, Dec. 2011, 3 pages. |
Kenhui, “Musings on Cloud Computing and IT-as-a-Service: [Updated for Havana] Openstack Computer for VSphere Admins, Part 2: Nova-Scheduler and DRS”, Jun. 26, 2013, Cloud Architect Musings, 12 pages. |
Kolyshkin, Kirill, “Virtualization in Linux,” Sep. 1, 2006, XP055141648, 5 pages, https://web.archive.org/web/20070120205111/http://download.openvz.org/doc/openvz-intro.pdf. |
Lerach, S.R.O., “Golem,” http://www.lerach.cz/en/products/golem, accessed Jul. 22, 2015, 2 pages. |
Linthicum, David, “VM Import could be a game changer for hybrid clouds”, InfoWorld, Dec. 23, 2010, 4 pages. |
Naik, Vijay K., et al., “Harmony: A Desktop Grid for Delivering Enterprise Computations,” Grid Computing, 2003, Fourth International Workshop on Proceedings, Nov. 17, 2003, pp. 1-11. |
Nair, Srijith K. et al., “Towards Secure Cloud Bursting, Brokerage and Aggregation,” 2012, 8 pages, www.flexiant.com. |
Nielsen, “SimMetry Audience Measurement—Technology,” http://www.nielsen-admosphere.eu/products-and-services/simmetry-audience-measurement-technology/, accessed Jul. 22, 2015, 6 pages. |
Nielsen, “Television ” http://www.nielsen.com/us/en/solutions/measurement/television.html, accessed Jul. 22, 2015, 4 pages. |
Open Stack, “Filter Scheduler,” updated Dec. 17, 2017, 5 pages, accessed on Dec. 18, 2017, https://docs.openstack.org/nova/latest/user/filter-scheduler.html. |
Saidi, Ali, et al., “Performance Validation of Network-Intensive Workloads on a Full-System Simulator,” Interaction between Operating System and Computer Architecture Workshop, (IOSCA 2005), Austin, Texas, Oct. 2005, 10 pages. |
Shunra, “Shunra for HP Software; Enabling Confidence in Application Performance Before Deployment,” 2010, 2 pages. |
Son, Jungmin, “Automatic decision system for efficient resource selection and allocation in inter-clouds,” Jun. 2013, 35 pages. |
Wikipedia, “Filter (software)”, Wikipedia, Feb. 8, 2014, 2 pages, https://en.wikipedia.org/w/index.php?title=Filter %28software%29&oldid=594544359. |
Wikipedia; “Pipeline (Unix)”, Wikipedia, May 4, 2014, 4 pages, https://en.wikipedia.org/w/index.php?title=Pipeline2/028Unix%29&oldid=606980114. |
Extended European Search Report from the European Patent Office for the corresponding European Patent Application No. EP17180216.8, dated Nov. 2, 2017, 14 pages. |
Al-Harbi, S.H., et al., “Adapting k-means for supervised clustering,” Jun. 2006, Applied Intelligence, vol. 24, Issue 3, pp. 219-226. |
Bohner, Shawn A., “Extending Software Change Impact Analysis into COTS Components,” 2003, IEEE, 8 pages. |
Hood, C. S., et al., “Automated Proactive Anomaly Detection,” 1997, Springer Science and Business Media Dordrecht , pp. 688-699. |
Vilalta R., et al., “An efficient approach to external cluster assessment with an application to martian topography,” Feb. 2007, 23 pages, Data Mining and Knowledge Discovery 14.1: 1-23. New York: Springer Science & Business Media. |
Number | Date | Country | |
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20180013611 A1 | Jan 2018 | US |