Method and system of connecting to a multipath hub in a cluster

Information

  • Patent Grant
  • 11349722
  • Patent Number
    11,349,722
  • Date Filed
    Saturday, August 1, 2020
    3 years ago
  • Date Issued
    Tuesday, May 31, 2022
    2 years ago
Abstract
In one aspect, a computerized method useful for connecting to a multipath hub in a cluster includes the step of, with a gateway in a same network as the cluster, receiving, from a branch edge, a request to connect to a logical identifier (ID) of the multipath hub. The gateway recognizes a logical ID representing a cluster. The gateway determines a least-loaded edge in the cluster to be the multipath hub. The gateway returns a connectivity information for the multipath hub. The branch edge configures a tunnel to the multipath hub.
Description
FIELD OF THE INVENTION

This application relates generally to computer networking, and more specifically to a system, article of manufacture and method connecting to a hub in a cluster.


DESCRIPTION OF THE RELATED ART

Inherently, the size of a single VPN Network with a Hub may be constrained by the scale of the individual Hub. For large customers whose deployments reach twenty-thousand (20,000) sites, it may neither practical to scale an individual appliance to meet this scale nor mandate the customer manage individual separate Hubs to achieve this. In order to address this limitation, a clustering functionality can be used to easily expand the capacity of the Hub dynamically by creating a logical cluster, while also providing resiliency via the Active/Active HA topology that a cluster of Edges would provide. The Nodes in a Cluster can be either physical or virtual Edges. If they are virtual, they may exist on a single hypervisor or across hypervisors. The Edges within the cluster may communicate with the Gateway for control plane information and do not directly communicate nor exchange state.


BRIEF SUMMARY OF THE INVENTION

In one aspect, a computerized method useful for connecting to a multipath hub in a cluster includes the step of, with a gateway in a same network as the cluster, receiving, from a branch edge, a request to connect to a logical identifier (ID) of the multipath hub. The gateway recognizes a logical ID representing a cluster. The gateway determines a least-loaded edge in the cluster to be the multipath hub. The gateway returns a connectivity information for the multipath hub. The branch edge configures a tunnel to the multipath hub.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 illustrates an example process for connecting to a hub in a cluster, according to some embodiments.



FIG. 2 illustrates a system for implementing process 100, according to some embodiments.



FIG. 3 illustrates an example when a Branch Edge loses connectivity to a Hub of an Enterprise Data Center, according to some embodiments.



FIG. 4 where an Edge A sends traffic from Subnet A to Subnet B, according to some embodiments.



FIG. 5 illustrates an example enterprise data center, according to some embodiments.



FIG. 6 illustrates an example process for connecting when an edge loses connectivity to a hub, according to some embodiments.



FIG. 7 illustrates an example process of implementing aspects of step 602 or process 600, according to some embodiments.



FIG. 8 illustrates an example process for implementing aspects of step 610 and/or process 600, according to some embodiments.



FIG. 9 depicts an exemplary computing system that can be configured to perform any one of the processes provided herein.





The Figures described above are a representative set, and are not exhaustive with respect to embodying the invention.


DESCRIPTION

Disclosed are a system, method, and article of manufacture for connecting to a multipath hub in a cluster. The following description is presented to enable a person of ordinary skill in the art to make and use the various embodiments. Descriptions of specific devices, techniques, and applications are provided only as examples. Various modifications to the examples described herein can be readily apparent to those of ordinary skill in the art, and the general principles defined herein may be applied to other examples and applications without departing from the spirit and scope of the various embodiments.


Reference throughout this specification to “one embodiment,” “an embodiment,” ‘one example,’ or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, appearances of the phrases “in one embodiment,” “in an embodiment,” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.


Furthermore, the described features, structures, or characteristics of the invention may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided, such as examples of programming, software modules, user selection, network transactions, database queries, database structures, hardware modules, hardware circuits, hardware chips, etc., to provide a thorough understanding of embodiments of the invention. One skilled in the relevant art can recognize, however, that the invention may be practiced without one or more of the specific details, or with other methods, components, materials, and so forth. In other instances, well-known structures, materials, or operations are not shown or described in detail to avoid obscuring aspects of the invention.


The schematic flow chart diagrams included herein are generally set forth as logical flow chart diagrams. As such, the depicted order and labeled steps are indicative of one embodiment of the presented method. Other steps and methods may be conceived that are equivalent in function, logic, or effect to one or more steps, or portions thereof, of the illustrated method. Additionally, the format and symbols employed are provided to explain the logical steps of the method and are understood not to limit the scope of the method. Although various arrow types and line types may be employed in the flow chart diagrams, and they are understood not to limit the scope of the corresponding method. Indeed, some arrows or other connectors may be used to indicate only the logical flow of the method. For instance, an arrow may indicate a waiting or monitoring period of unspecified duration between enumerated steps of the depicted method. Additionally, the order in which a particular method occurs may or may not strictly adhere to the order of the corresponding steps shown.


DEFINITIONS

Example definitions for some embodiments are now provided.


Border Gateway Protocol (BGP) can be a standardized exterior gateway protocol designed to exchange routing and reachability information among autonomous systems (AS) on the Internet.


Dynamic tunneling can refer to MultiPath tunnels (i.e. paths) that are established on-demand between two endpoints when there is VPN traffic to be sent between two Edges, and torn down after VPN traffic is completed.


Edge device can be a device that provides an entry point into enterprise or service provider core networks. An edge device can be software running in a virtual machine (VM) located in a branch office and/or customer premises.


Enterprise Data Center can include multiple data centers (e.g. each with a duty of sustaining key functions).


Gateway can be a node (e.g. a router) on a computer network that serves as an access point to another network.


Internet Protocol Security (IPsec) can be a protocol suite for securing Internet Protocol (IP) communications by authenticating and encrypting each IP packet of a communication session.


Inter-process communication (IPC) can include mechanisms an operating system provides to allow the processes to manage shared data. Typically, applications can use IPC, categorized as clients and servers, where the client requests data and the server responds to client requests.


Orchestrator can include a software component that provides multi-tenant and role based centralized configuration management and visibility.


Subnet can be a logical subdivision of an IP network.


Tunneling protocol can allow a network user to access or provide a network service that the underlying network does not support or provide directly.


Virtual private network (VPN) can extend a private network across a public network, such as the Internet. It can enable users to send and receive data across shared or public networks as if their computing devices were directly connected to the private network, and thus benefit from the functionality, security and management policies of the private network.


Additional example definitions are provided herein.


EXAMPLES SYSTEMS AND PROCESSES

A variety of techniques can be used to maintain branch connectivity to data centers, cloud applications, etc. For example, in a data center topology, an edge device (e.g. an edge) can be deployed in two different ways. As a cluster, redundancy can be provided for a single data center leveraging multiple independent devices. Alternately, redundancy can be provided by deploying multiple physical edges in multiple data centers that are interconnected via routing external to a gateway. In the clustering topology, each edge in a cluster can report health statistics to a gateway at a specified period (e.g. every 30 seconds, etc.). This can enable it to make intelligent decisions about assignment and re-balancing.



FIG. 1 illustrates an example process 100 for connecting to a multipath hub in a cluster, according to some embodiments. In step 102, a branch edge can request to connect to logical identifier (ID) of the multipath hub (e.g. a node with a large number of links, etc.). In step 104, the gateway recognizes the logical ID represents a cluster and selects the least loaded edge the cluster to be the multipath hub. In step 106, the gateway returns connectivity information for the selected multipath hub. In step 108, the branch edge sets up tunnel to the assigned multipath hub. Each measure of utilization is treated as a max out of one-hundred percent (100%). The tunnel count can be a maximum value based on the model number of the hardware model itself. The three (3) utilization percentages can be averaged to arrive at an integer number of utilization. The Edge with the lowest utilization number can be selected as the multipath hub. In case of a tie in lowest utilization score, a first Edge in the list with that score (e.g. the Edge which has been connected to the gateway the longest) can be selected. For example, on an Edge 1000: CPU 20%, Memory 30%, Tunnels 200 (out of 2000 max) Utilization score: (20+30+(20/2000))/3=20.



FIGS. 2 and 3 illustrate systems 200 and 300 for implementing process 100, according to some embodiments. Cluster(s) 202 can include various multipath hubs (e.g. Hubs 1-4 502-508 of FIG. 5, etc.). Cluster(s) 202 can communicate various network usage statistics 204 to cluster 206. Cluster(s) 202 can operate in an Enterprise Data Center 302. Branch Edge 210 can communicate a query which hub in cluster to connect with to cluster 206. Cluster 206 can communicate a specific hub identifier to Branch Edge 210 in step 214. Based on this information, branch edge 210 can set up a tunnel with appropriate hub in step 212. Switch 214 can be an L3 switch. Layer 3 switching can be based on (e.g. destination) IP address stored in the header of IP datagram.



FIG. 3 illustrates an example when a Branch Edge 210 loses connectivity to a multipath Hub of an Enterprise Data Center, according to some embodiments. For example, all tunnels/paths connecting the Edge to the Hub disconnect and the Edge loses all means of connectivity to the Hub. It can again send a connection request to a gateway with the logical ID of Gateway 206, as if it were connecting for the first time. Since the gateway also has a list of connected hubs, if there was truly an outage, it may have also gone dead to the gateway and have been deleted from the list of available Edges that can be assigned from Gateway 206.


Even though in this use case Branch Edge(s) 210 and 314 may be connected to different Hubs in Gateway 206. Gateway 206 can signal the creation of Dynamic Edge-to-Edge tunnels in case both Branch Edge(s) 210 and 314 are not connected to the same Hub in Gateway 206. Gateway 206 can include a controller (not shown) that functions as a control plane piece of the Gateway 206.



FIG. 4 where an Edge A 210 sends traffic from Subnet A 404 to Subnet B 406, according to some embodiments. Edge A 210 can send traffic from Subnet A 404 to Subnet B 406. Hub1 has learned the route for Edge B 314 from the L3 Switch 214 and advertised to Edge A 210 via a routing protocol (e.g. Velocloud® routing protocol (VCRP), etc.). Edge1 sends the traffic to Hub1. Edge1 can notify the gateway that it has initiated a connection to an IP in B. Traffic for B can be forwarded to the L3 Switch 214. L3 Switch 214 routes traffic to Hub3 as switch 214 has learned that route from Hub3 via a dynamic routing protocol (e.g. OSPF, BGP, etc.). Hub3 sends the traffic to Edge B 314 where it has learned the route for Edge B 314 via a routing protocol. Upon receipt of the message sent in process 100 supra, the gateway determines that Edge A 210 and Edge B 314 can directly connect. The gateway can notify Edge A 210 about connectivity information of Edge B 314. Gateway notifies Edge B 314 about connectivity information of Edge A 210. A dynamic tunnel can be established between Edge A 210 and Edge B 314. Traffic is moved to the direct tunnel and no longer traverses Cluster 206. It is noted that Cluster(s) 202 can operate in an Enterprise Data Center 302 (e.g. Subnet C).



FIG. 5 illustrates an example enterprise data center, according to some embodiments. By way of example, Enterprise data center 202 can include one or more Hubs 1-4 502-508.



FIG. 6 illustrates an example process 600 for connecting when an edge loses connectivity to a hub, according to some embodiments. Process 600 can be implement with system 400 of FIG. 4 and system 500 of FIG. 5. For example, in step 602, Edge A 210 sends traffic from Subnet A 404 to Subnet B 406.



FIG. 7 illustrates an example process 700 of implementing aspects of step 602 or process 600, according to some embodiments. In step 702, Hub1 502 has learned the route for Edge B 314 from the switch and advertised to Edge A 210 via a routing protocol. In step 704, Edge A 210 sends the traffic to Hub1 502. In step 706, Edge A 210 notifies the gateway that it has initiated a connection to an IP in Subnet B 406.


Returning to process 600, in step 604, traffic for Subnet B 406 is forwarded to the Switch 214. In step 606, the switch routes traffic to Hub 3 506 as the switch has learned that route from Hub 3 506 via a dynamic routing protocol (e.g. OSPF, BGP, etc.). In step 608, Hub 3 506 sends the traffic to Edge B where it has learned the route for B via a routing protocol.


In step 610, upon receipt of the message sent in process 100, the gateway determines that Edge A 210 and Edge B 314 can directly connect. Edge A 210 and Edge B 314 are then connected. FIG. 8 illustrates an example process 800 for implementing aspects of step 610 and/or process 600, according to some embodiments. In step 802, a gateway notifies Edge A 210 about Edge B 314 connectivity information. In step 804, the gateway notifies Edge B 314 about the connectivity information of Edge A 210. In step 806, a dynamic tunnel is established between edge a and Edge B 314. In step 808, traffic is moved to the direct tunnel and no longer needs to traverse cluster 206.



FIG. 9 depicts an exemplary computing system 900 that can be configured to perform any one of the processes provided herein. In this context, computing system 900 may include, for example, a processor, memory, storage, and I/O devices (e.g., monitor, keyboard, disk drive, Internet connection, etc.). However, computing system 900 may include circuitry or other specialized hardware for carrying out some or all aspects of the processes. In some operational settings, computing system 900 may be configured as a system that includes one or more units, each of which is configured to carryout some aspects of the processes either in software, hardware, or some combination thereof.



FIG. 9 depicts computing system 900 with a number of components that may be used to perform any of the processes described herein. The main system 902 includes a motherboard 904 having an I/O section 906, one or more central processing units (CPU) 908, and a memory section 910, which may have a flash memory card 912 related to it. The I/O section 906 can be connected to a display 914, a keyboard and/or other user input (not shown), a disk storage unit 916, and a media drive unit 918. The media drive unit 918 can read/write a computer-readable medium 920, which can contain programs 922 and/or data. Computing system 900 can include a web browser. Moreover, it is noted that computing system 900 can be configured to include additional systems in order to fulfill various functionalities. Computing system 900 can communicate with other computing devices based on various computer communication protocols such a Wi-Fi, Bluetooth® (and/or other standards for exchanging data over short distances includes those using short-wavelength radio transmissions), USB, Ethernet, cellular, an ultrasonic local area communication protocol, etc.


CONCLUSION

Although the present embodiments have been described with reference to specific example embodiments, various modifications and changes can be made to these embodiments without departing from the broader spirit and scope of the various embodiments. For example, the various devices, modules, etc. described herein can be enabled and operated using hardware circuitry, firmware, software or any combination of hardware, firmware, and software (e.g., embodied in a machine-readable medium).


In addition, it can be appreciated that the various operations, processes, and methods disclosed herein can be embodied in a machine-readable medium and/or a machine accessible medium compatible with a data processing system (e.g., a computer system), and can be performed in any order (e.g., including using means for achieving the various operations). Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense. In some embodiments, the machine-readable medium can be a non-transitory form of machine-readable medium.

Claims
  • 1. A method for connecting an edge device of a first branch location to a multipath hub of a software defined wide area network (SD-WAN), the method comprising: receiving, from the edge device of the first branch location, a connection request to connect to a multipath hub;selecting a particular multipath hub from a cluster of available multipath hubs to forward traffic to and from the first branch location from and to at least one other branch location; andreturning to the edge device a set of connectivity data for the edge device to use to establish tunnel connectivity to the particular multipath hub.
  • 2. The method of claim 1, wherein selecting the particular multipath hub from the cluster of multipath hubs comprises performing a load balancing operation to select one multipath hub based on a set of load balancing criteria.
  • 3. The method of claim 2, wherein the load balancing operation is based on statistics maintained for each multipath hub in the cluster.
  • 4. The method of claim 3, wherein the maintained statistics comprise at least one of a tunnel usage count percentage, a CPU usage percentage, and a memory usage percentage.
  • 5. The method of claim 4, wherein each multipath hub in the cluster has a utilization number determined by averaging the maintained statistics of the multipath hub; andwherein the least-loaded multipath hub is the multipath hub determined to have a lowest utilization number.
  • 6. The method of claim 5, wherein when two or more available multipath hubs in the cluster are determined to be tied for the lowest utilization number, the method further comprises selecting a first multipath hub from the two or more available multipath hubs having the lowest utilization score.
  • 7. The method of claim 4, wherein a maximum value for the tunnel usage count percentage of a multipath hub is based on a model number of a hardware model of the multipath hub.
  • 8. The method of claim 1, wherein the multipath hub cluster operates in an enterprise datacenter, wherein the method is performed by an edge gateway of the enterprise datacenter.
  • 9. A method for connecting first and second edge devices respectively of first and second branch locations to multipath hubs of a software defined wide area network (SD-WAN) the method comprising: receiving, from the first and second edge devices respectively of the first and second branch locations, a connection request to connect to a multipath hub;selecting first and second multipath hubs from a cluster of available multipath hubs to forward traffic to and from the first and second branch locations from and to at least one other branch location; andreturning to the first and second edge devices respectively first and second sets of connectivity data respectively for the first and second edge devices to use to establish first and second tunnel connectivity to the first and second multipath hubs respectively.
  • 10. The method of claim 9, wherein each of the first and second requests comprise an identifier representing the multipath hub cluster.
  • 11. A non-transitory machine readable medium storing a program which when executed by at least one processing unit connects an edge device of a first branch location to a multipath hub of a software defined wide area network (SD-WAN), the program comprising sets of instructions for: receiving, from the edge device of the first branch location, a connection request to connect to a multipath hub;selecting a particular multipath hub from a cluster of available multipath hubs to forward traffic to and from the first branch location from and to at least one other branch location; andreturning to the edge device a set of connectivity data for the edge device to use to establish tunnel connectivity to the particular multipath hub.
  • 12. The non-transitory machine readable medium of claim 11, wherein the set of instructions for selecting the particular multipath hub from the cluster of multipath hubs comprises a set of instructions for performing a load balancing operation to select one multipath hub based on a set of load balancing criteria.
  • 13. The non-transitory machine readable medium of claim 12, wherein the load balancing operation is based on statistics maintained for each multipath hub in the cluster.
  • 14. The non-transitory machine readable medium of claim 13, wherein the maintained statistics comprise at least one of a tunnel usage count percentage, a CPU usage percentage, and a memory usage percentage.
  • 15. The non-transitory machine readable medium of claim 14, wherein each multipath hub in the cluster has a utilization number determined by averaging the maintained statistics of the multipath hub; andwherein the least-loaded multipath hub is the multipath hub determined to have a lowest utilization number.
  • 16. The non-transitory machine readable medium of claim 15, wherein when two or more available multipath hubs in the cluster are determined to be tied for the lowest utilization number, the program further comprises a set of instructions for selecting a first multipath hub from the two or more available multipath hubs having the lowest utilization score.
  • 17. The non-transitory machine readable medium of claim 14, wherein a maximum value for the tunnel usage count percentage of a multipath hub is based on a model number of a hardware model of the multipath hub.
  • 18. The non-transitory machine readable medium of claim 11, wherein the multipath hub cluster operates in an enterprise datacenter, wherein the program is performed by an edge gateway of the enterprise datacenter.
  • 19. A non-transitory machine readable medium, storing a program which when executed by at least one processing unit connects first and second edge devices of first and second branch locations to multipath hubs of a software defined wide area network (SD-WAN), the program comprising sets of instructions for: receiving, from the first and second edge devices respectively of the first and second branch locations, a connection request to connect to a multipath hub;selecting first and second multipath hubs from a cluster of available multipath hubs to forward traffic to and from the first and second branch locations from and to at least one other branch location; andreturning to the first and second edge devices respectively first and second sets of connectivity data respectively for the first and second edge devices to use to establish first and second tunnel connectivity to the first and second multipath hubs respectively.
  • 20. The non-transitory machine readable medium of claim 19, wherein each of the first and second requests comprise an identifier representing the multipath hub cluster.
CLAIM OF BENEFIT TO PRIOR APPLICATIONS

This application is a continuation application of U.S. patent application Ser. No. 15/707,124, filed Nov. 18, 2017, now published as U.S. Patent Publication 2018/0234300. U.S. patent application Ser. No. 15/707,124 claims priority to U.S. Provisional Patent Application No. 62/457,816, titled METHOD AND SYSTEM OF OVERLAY FLOW CONTROL, filed on Feb. 11, 2017. U.S. patent application Ser. No. 15/707,124 claims priority to U.S. Provisional Patent Application No. 62/523,477, titled METHOD AND SYSTEM OF RESILIENCY AND VISIBILITY IN CLOUD-DELIVERED SD-WAN, filed on Jun. 22, 2017. U.S. patent application Ser. No. 15/707,124, now published as U.S. Patent Publication 2018/0234300, U.S. Provisional Patent Application No. 62/457,816, and U.S. Provisional Patent Application No. 62/523,477 are incorporated by reference in their entirety.

US Referenced Citations (696)
Number Name Date Kind
5652751 Sharony Jul 1997 A
5909553 Campbell et al. Jun 1999 A
6154465 Pickett Nov 2000 A
6157648 Voit et al. Dec 2000 A
6201810 Masuda et al. Mar 2001 B1
6363378 Conklin et al. Mar 2002 B1
6445682 Weitz Sep 2002 B1
6744775 Beshai et al. Jun 2004 B1
6976087 Westfall et al. Dec 2005 B1
7003481 Banka et al. Feb 2006 B2
7280476 Anderson Oct 2007 B2
7313629 Nucci et al. Dec 2007 B1
7320017 Kurapati et al. Jan 2008 B1
7373660 Guichard et al. May 2008 B1
7581022 Griffin et al. Aug 2009 B1
7680925 Sathyanarayana et al. Mar 2010 B2
7681236 Tamura et al. Mar 2010 B2
7962458 Holenstein et al. Jun 2011 B2
8094575 Vadlakonda et al. Jan 2012 B1
8094659 Arad Jan 2012 B1
8111692 Ray Feb 2012 B2
8141156 Mao et al. Mar 2012 B1
8224971 Miller et al. Jul 2012 B1
8228928 Parandekar et al. Jul 2012 B2
8243589 Trost et al. Aug 2012 B1
8259566 Chen et al. Sep 2012 B2
8274891 Averi et al. Sep 2012 B2
8301749 Finklestein et al. Oct 2012 B1
8385227 Downey Feb 2013 B1
8566452 Goodwin et al. Oct 2013 B1
8630291 Shaffer et al. Jan 2014 B2
8661295 Khanna et al. Feb 2014 B1
8724456 Hong et al. May 2014 B1
8724503 Johnsson et al. May 2014 B2
8745177 Kazerani et al. Jun 2014 B1
8799504 Capone et al. Aug 2014 B2
8804745 Sinn Aug 2014 B1
8806482 Nagargadde et al. Aug 2014 B1
8856339 Mestery et al. Oct 2014 B2
8964548 Keralapura et al. Feb 2015 B1
8989199 Sella et al. Mar 2015 B1
9009217 Nagargadde et al. Apr 2015 B1
9055000 Ghosh et al. Jun 2015 B1
9060025 Xu Jun 2015 B2
9071607 Twitchell, Jr. Jun 2015 B2
9075771 Gawali et al. Jul 2015 B1
9135037 Petrescu-Prahova et al. Sep 2015 B1
9137334 Zhou Sep 2015 B2
9154327 Marino et al. Oct 2015 B1
9203764 Shirazipour et al. Dec 2015 B2
9306949 Richard et al. Apr 2016 B1
9323561 Ayala et al. Apr 2016 B2
9336040 Dong et al. May 2016 B2
9354983 Yenamandra et al. May 2016 B1
9356943 Lopilato et al. May 2016 B1
9379981 Zhou et al. Jun 2016 B1
9413724 Xu Aug 2016 B2
9419878 Hsiao et al. Aug 2016 B2
9432245 Sorenson et al. Aug 2016 B1
9438566 Zhang et al. Sep 2016 B2
9450817 Bahadur et al. Sep 2016 B1
9450852 Chen et al. Sep 2016 B1
9462010 Stevenson Oct 2016 B1
9467478 Khan et al. Oct 2016 B1
9485163 Fries et al. Nov 2016 B1
9521067 Michael et al. Dec 2016 B2
9525564 Lee Dec 2016 B2
9559951 Sajassi et al. Jan 2017 B1
9563423 Pittman Feb 2017 B1
9602389 Maveli et al. Mar 2017 B1
9608917 Anderson et al. Mar 2017 B1
9608962 Chang Mar 2017 B1
9621460 Mehta et al. Apr 2017 B2
9641551 Kariyanahalli May 2017 B1
9665432 Kruse et al. May 2017 B2
9686127 Ramachandran et al. Jun 2017 B2
9715401 Devine et al. Jul 2017 B2
9717021 Hughes et al. Jul 2017 B2
9722815 Mukundan et al. Aug 2017 B2
9747249 Cherian et al. Aug 2017 B2
9755965 Yadav et al. Sep 2017 B1
9787559 Schroeder Oct 2017 B1
9807004 Koley et al. Oct 2017 B2
9819540 Bahadur et al. Nov 2017 B1
9819565 Djukic et al. Nov 2017 B2
9825822 Holland Nov 2017 B1
9825911 Brandwine Nov 2017 B1
9825992 Xu Nov 2017 B2
9832128 Ashner et al. Nov 2017 B1
9832205 Santhi et al. Nov 2017 B2
9875355 Williams Jan 2018 B1
9906401 Rao Feb 2018 B1
9930011 Clemons, Jr. et al. Mar 2018 B1
9935829 Miller et al. Apr 2018 B1
9942787 Tillotson Apr 2018 B1
10038601 Becker et al. Jul 2018 B1
10057183 Salle et al. Aug 2018 B2
10057294 Xu Aug 2018 B2
10135789 Mayya et al. Nov 2018 B2
10142226 Wu et al. Nov 2018 B1
10178032 Freitas Jan 2019 B1
10187289 Chen et al. Jan 2019 B1
10200264 Menon et al. Feb 2019 B2
10229017 Zou et al. Mar 2019 B1
10237123 Dubey et al. Mar 2019 B2
10250498 Bales et al. Apr 2019 B1
10263832 Ghosh Apr 2019 B1
10320664 Nainar et al. Jun 2019 B2
10320691 Matthews et al. Jun 2019 B1
10326830 Singh Jun 2019 B1
10348767 Lee et al. Jul 2019 B1
10355989 Panchai et al. Jul 2019 B1
10425382 Mayya et al. Sep 2019 B2
10454708 Mibu Oct 2019 B2
10454714 Mayya et al. Oct 2019 B2
10461993 Turabi et al. Oct 2019 B2
10498652 Mayya et al. Dec 2019 B2
10511546 Singarayan et al. Dec 2019 B2
10523539 Mayya et al. Dec 2019 B2
10550093 Ojima et al. Feb 2020 B2
10554538 Spohn et al. Feb 2020 B2
10560431 Chen et al. Feb 2020 B1
10565464 Han et al. Feb 2020 B2
10567519 Mukhopadhyaya et al. Feb 2020 B1
10574528 Mayya et al. Feb 2020 B2
10594516 Cidon et al. Mar 2020 B2
10594659 El-Moussa et al. Mar 2020 B2
10608844 Cidon et al. Mar 2020 B2
10637889 Ermagan et al. Apr 2020 B2
10666460 Cidon et al. May 2020 B2
10686625 Cidon et al. Jun 2020 B2
10749711 Mukundan et al. Aug 2020 B2
10778466 Cidon et al. Sep 2020 B2
10778528 Mayya et al. Sep 2020 B2
10805114 Cidon et al. Oct 2020 B2
10805272 Mayya et al. Oct 2020 B2
10819564 Turabi et al. Oct 2020 B2
10826775 Moreno et al. Nov 2020 B1
10841131 Cidon et al. Nov 2020 B2
10911374 Kumar et al. Feb 2021 B1
10938693 Mayya et al. Mar 2021 B2
10951529 Duan et al. Mar 2021 B2
10958479 Cidon et al. Mar 2021 B2
10959098 Cidon et al. Mar 2021 B2
10992558 Silva et al. Apr 2021 B1
10992568 Michael et al. Apr 2021 B2
10999100 Cidon et al. May 2021 B2
10999137 Cidon et al. May 2021 B2
10999165 Cidon et al. May 2021 B2
11005684 Cidon May 2021 B2
11018995 Cidon et al. May 2021 B2
11044190 Ramaswamy et al. Jun 2021 B2
11050588 Mayya et al. Jun 2021 B2
11050644 Hegde et al. Jun 2021 B2
11071005 Shen et al. Jul 2021 B2
11089111 Markuze et al. Aug 2021 B2
11095612 Oswal et al. Aug 2021 B1
11102032 Cidon et al. Aug 2021 B2
11108851 Kurmala et al. Aug 2021 B1
11115347 Gupta et al. Sep 2021 B2
11115426 Pazhyannur et al. Sep 2021 B1
11115480 Markuze et al. Sep 2021 B2
11121962 Michael et al. Sep 2021 B2
11121985 Gidon et al. Sep 2021 B2
11128492 Sethi et al. Sep 2021 B2
11153230 Cidon et al. Oct 2021 B2
11171885 Cidon et al. Nov 2021 B2
11212140 Mukundan et al. Dec 2021 B2
11212238 Cidon et al. Dec 2021 B2
20020085488 Kobayashi Jul 2002 A1
20020087716 Mustafa Jul 2002 A1
20020198840 Banka et al. Dec 2002 A1
20030061269 Hathaway et al. Mar 2003 A1
20030088697 Matsuhira May 2003 A1
20030112766 Riedel et al. Jun 2003 A1
20030112808 Solomon Jun 2003 A1
20030126468 Markham Jul 2003 A1
20030161313 Jinmei et al. Aug 2003 A1
20030189919 Gupta et al. Oct 2003 A1
20030202506 Perkins et al. Oct 2003 A1
20030219030 Gubbi Nov 2003 A1
20040059831 Chu et al. Mar 2004 A1
20040068668 Lor et al. Apr 2004 A1
20040165601 Liu et al. Aug 2004 A1
20040224771 Chen et al. Nov 2004 A1
20050078690 DeLangis Apr 2005 A1
20050154790 Nagata et al. Jul 2005 A1
20050172161 Cruz et al. Aug 2005 A1
20050195754 Nosella Sep 2005 A1
20050265255 Kodialam et al. Dec 2005 A1
20060002291 Alicherry et al. Jan 2006 A1
20060114838 Mandavilli et al. Jun 2006 A1
20060171365 Borella Aug 2006 A1
20060182034 Klinker et al. Aug 2006 A1
20060182035 Vasseur Aug 2006 A1
20060193247 Naseh et al. Aug 2006 A1
20060193252 Naseh et al. Aug 2006 A1
20070064604 Chen et al. Mar 2007 A1
20070064702 Bates et al. Mar 2007 A1
20070083727 Johnston et al. Apr 2007 A1
20070091794 Filsfils et al. Apr 2007 A1
20070103548 Carter May 2007 A1
20070115812 Hughes May 2007 A1
20070121486 Guichard et al. May 2007 A1
20070130325 Lesser Jun 2007 A1
20070162639 Chu et al. Jul 2007 A1
20070177511 Das et al. Aug 2007 A1
20070237081 Kodialam et al. Oct 2007 A1
20070260746 Mirtorabi et al. Nov 2007 A1
20070268882 Breslau et al. Nov 2007 A1
20080002670 Bugenhagen et al. Jan 2008 A1
20080049621 McGuire et al. Feb 2008 A1
20080080509 Khanna et al. Apr 2008 A1
20080095187 Jung et al. Apr 2008 A1
20080117930 Chakareski et al. May 2008 A1
20080144532 Chamarajanagar et al. Jun 2008 A1
20080181116 Kavanaugh et al. Jul 2008 A1
20080219276 Shah Sep 2008 A1
20080240121 Xiong et al. Oct 2008 A1
20090013210 McIntosh et al. Jan 2009 A1
20090125617 Klessig et al. May 2009 A1
20090141642 Sun Jun 2009 A1
20090154463 Hines et al. Jun 2009 A1
20090247204 Sennett et al. Oct 2009 A1
20090274045 Meier et al. Nov 2009 A1
20090276657 Wetmore et al. Nov 2009 A1
20090303880 Maltz et al. Dec 2009 A1
20100008361 Guichard et al. Jan 2010 A1
20100017802 Lojewski Jan 2010 A1
20100046532 Okita Feb 2010 A1
20100061379 Parandekar et al. Mar 2010 A1
20100080129 Strahan et al. Apr 2010 A1
20100088440 Banks et al. Apr 2010 A1
20100091823 Retana et al. Apr 2010 A1
20100107162 Edwards et al. Apr 2010 A1
20100118727 Draves et al. May 2010 A1
20100118886 Saavedra May 2010 A1
20100165985 Sharma et al. Jul 2010 A1
20100191884 Holenstein et al. Jul 2010 A1
20100223621 Joshi et al. Sep 2010 A1
20100226246 Proulx Sep 2010 A1
20100290422 Haigh et al. Nov 2010 A1
20100309841 Conte Dec 2010 A1
20100309912 Mehta et al. Dec 2010 A1
20100322255 Hao et al. Dec 2010 A1
20100332657 Elyashev et al. Dec 2010 A1
20110007752 Silva et al. Jan 2011 A1
20110032939 Nozaki et al. Feb 2011 A1
20110040814 Higgins Feb 2011 A1
20110075674 Li et al. Mar 2011 A1
20110107139 Middlecamp et al. May 2011 A1
20110110370 Moreno et al. May 2011 A1
20110141877 Xu et al. Jun 2011 A1
20110142041 Imai Jun 2011 A1
20110153909 Dong Jun 2011 A1
20110255397 Kadakia et al. Oct 2011 A1
20120008630 Ould-Brahim Jan 2012 A1
20120027013 Napierala Feb 2012 A1
20120136697 Peles et al. May 2012 A1
20120157068 Eichen et al. Jun 2012 A1
20120173694 Yan et al. Jul 2012 A1
20120173919 Patel et al. Jul 2012 A1
20120182940 Taleb et al. Jul 2012 A1
20120221955 Raleigh et al. Aug 2012 A1
20120227093 Shalzkamer et al. Sep 2012 A1
20120250682 Vincent et al. Oct 2012 A1
20120250686 Vincent et al. Oct 2012 A1
20120281706 Agarwal et al. Nov 2012 A1
20120287818 Corti et al. Nov 2012 A1
20120300615 Kempf et al. Nov 2012 A1
20120307659 Yamada Dec 2012 A1
20120317291 Wolfe Dec 2012 A1
20130019005 Hui et al. Jan 2013 A1
20130021968 Reznik et al. Jan 2013 A1
20130044764 Casado et al. Feb 2013 A1
20130051237 Ong Feb 2013 A1
20130051399 Zhang et al. Feb 2013 A1
20130054763 Merwe et al. Feb 2013 A1
20130086267 Gelenbe et al. Apr 2013 A1
20130103834 Dzerve et al. Apr 2013 A1
20130124718 Griffith et al. May 2013 A1
20130124911 Griffith et al. May 2013 A1
20130124912 Griffith et al. May 2013 A1
20130128889 Mathur et al. May 2013 A1
20130142201 Kim et al. Jun 2013 A1
20130170354 Takashima et al. Jul 2013 A1
20130173788 Song Jul 2013 A1
20130182712 Aguayo et al. Jul 2013 A1
20130191688 Agarwal et al. Jul 2013 A1
20130238782 Zhao et al. Sep 2013 A1
20130242718 Zhang Sep 2013 A1
20130254599 Katkar et al. Sep 2013 A1
20130258839 Wang et al. Oct 2013 A1
20130266015 Qu et al. Oct 2013 A1
20130266019 Qu et al. Oct 2013 A1
20130283364 Chang et al. Oct 2013 A1
20130286846 Atlas et al. Oct 2013 A1
20130297611 Moritz et al. Nov 2013 A1
20130297770 Zhang Nov 2013 A1
20130301469 Suga Nov 2013 A1
20130301642 Radhakrishnan et al. Nov 2013 A1
20130308444 Sem-Jacobsen et al. Nov 2013 A1
20130315242 Wang et al. Nov 2013 A1
20130315243 Huang et al. Nov 2013 A1
20130329548 Nakil et al. Dec 2013 A1
20130329601 Yin et al. Dec 2013 A1
20130329734 Chesla et al. Dec 2013 A1
20130346470 Obstfeld et al. Dec 2013 A1
20140019604 Twitchell, Jr. Jan 2014 A1
20140019750 Dodgson et al. Jan 2014 A1
20140040975 Raleigh et al. Feb 2014 A1
20140064283 Balus et al. Mar 2014 A1
20140071832 Johnsson et al. Mar 2014 A1
20140092907 Sridhar et al. Apr 2014 A1
20140108665 Arora et al. Apr 2014 A1
20140112171 Pasdar Apr 2014 A1
20140115584 Mudigonda et al. Apr 2014 A1
20140123135 Huang et al. May 2014 A1
20140126418 Brendel et al. May 2014 A1
20140156818 Hunt Jun 2014 A1
20140156823 Liu et al. Jun 2014 A1
20140164560 Ko et al. Jun 2014 A1
20140164617 Jalan et al. Jun 2014 A1
20140173113 Vemuri et al. Jun 2014 A1
20140173331 Martin et al. Jun 2014 A1
20140181824 Saund et al. Jun 2014 A1
20140208317 Nakagawa Jul 2014 A1
20140219135 Li et al. Aug 2014 A1
20140223507 Xu Aug 2014 A1
20140229210 Sharifian et al. Aug 2014 A1
20140244851 Lee Aug 2014 A1
20140258535 Zhang Sep 2014 A1
20140269690 Tu Sep 2014 A1
20140279862 Dietz et al. Sep 2014 A1
20140280499 Basavaiah et al. Sep 2014 A1
20140317440 Biermayr et al. Oct 2014 A1
20140321277 Lynn, Jr. et al. Oct 2014 A1
20140337500 Lee Nov 2014 A1
20140341109 Cartmell et al. Nov 2014 A1
20140372582 Ghanwani et al. Dec 2014 A1
20150003240 Drwiega et al. Jan 2015 A1
20150016249 Mukundan et al. Jan 2015 A1
20150029864 Raileanu et al. Jan 2015 A1
20150039744 Niazi et al. Feb 2015 A1
20150046572 Cheng et al. Feb 2015 A1
20150052247 Threefoot et al. Feb 2015 A1
20150052517 Raghu et al. Feb 2015 A1
20150056960 Egner et al. Feb 2015 A1
20150058917 Xu Feb 2015 A1
20150088942 Shah Mar 2015 A1
20150089628 Lang Mar 2015 A1
20150092603 Aguayo et al. Apr 2015 A1
20150096011 Watt Apr 2015 A1
20150124603 Ketheesan et al. May 2015 A1
20150134777 Onoue May 2015 A1
20150139238 Pourzandi et al. May 2015 A1
20150146539 Mehta et al. May 2015 A1
20150163152 Li Jun 2015 A1
20150169340 Haddad Jun 2015 A1
20150172121 Farkas et al. Jun 2015 A1
20150172169 DeCusatis et al. Jun 2015 A1
20150188823 Williams et al. Jul 2015 A1
20150189009 Bemmel Jul 2015 A1
20150195178 Bhattacharya et al. Jul 2015 A1
20150201036 Nishiki et al. Jul 2015 A1
20150222543 Song Aug 2015 A1
20150222638 Morley Aug 2015 A1
20150236945 Michael et al. Aug 2015 A1
20150236962 Veres et al. Aug 2015 A1
20150244617 Nakil et al. Aug 2015 A1
20150249644 Xu Sep 2015 A1
20150257081 Ramanujan et al. Sep 2015 A1
20150271056 Chunduri et al. Sep 2015 A1
20150271104 Chikkamath et al. Sep 2015 A1
20150271303 Neginhal et al. Sep 2015 A1
20150312142 Barabash et al. Oct 2015 A1
20150312760 O'Toole Oct 2015 A1
20150317169 Sinha et al. Nov 2015 A1
20150334025 Rader Nov 2015 A1
20150334696 Gu et al. Nov 2015 A1
20150341271 Gomez Nov 2015 A1
20150349978 Wu et al. Dec 2015 A1
20150350907 Timariu et al. Dec 2015 A1
20150358236 Roach et al. Dec 2015 A1
20150363221 Terayama et al. Dec 2015 A1
20150363733 Brown Dec 2015 A1
20150372943 Hasan et al. Dec 2015 A1
20150372982 Herle et al. Dec 2015 A1
20150381407 Wang et al. Dec 2015 A1
20150381493 Bansal et al. Dec 2015 A1
20160035183 Buchholz et al. Feb 2016 A1
20160036924 Koppolu et al. Feb 2016 A1
20160036938 Aviles et al. Feb 2016 A1
20160037434 Gopal et al. Feb 2016 A1
20160072669 Saavedra Mar 2016 A1
20160072684 Manuguri et al. Mar 2016 A1
20160080502 Yadav et al. Mar 2016 A1
20160105353 Cociglio Apr 2016 A1
20160105392 Thakkar et al. Apr 2016 A1
20160105471 Nunes et al. Apr 2016 A1
20160105488 Thakkar et al. Apr 2016 A1
20160117185 Fang et al. Apr 2016 A1
20160134461 Sampath et al. May 2016 A1
20160134528 Lin et al. May 2016 A1
20160134591 Liao et al. May 2016 A1
20160142373 Ossipov May 2016 A1
20160150055 Choi May 2016 A1
20160164832 Bellagamba et al. Jun 2016 A1
20160164914 Madhav et al. Jun 2016 A1
20160173338 Wolting Jun 2016 A1
20160191363 Haraszti et al. Jun 2016 A1
20160191374 Singh et al. Jun 2016 A1
20160192403 Gupta et al. Jun 2016 A1
20160197834 Luft Jul 2016 A1
20160197835 Luft Jul 2016 A1
20160198003 Luft Jul 2016 A1
20160210209 Verkaik et al. Jul 2016 A1
20160212773 Kanderholm et al. Jul 2016 A1
20160218947 Hughes et al. Jul 2016 A1
20160218951 Vasseur et al. Jul 2016 A1
20160255169 Kovvuri et al. Sep 2016 A1
20160261493 Li Sep 2016 A1
20160261495 Xia et al. Sep 2016 A1
20160261506 Hegde et al. Sep 2016 A1
20160261639 Xu Sep 2016 A1
20160269298 Li et al. Sep 2016 A1
20160269926 Sundaram Sep 2016 A1
20160285736 Gu Sep 2016 A1
20160308762 Teng et al. Oct 2016 A1
20160315912 Mayya et al. Oct 2016 A1
20160323377 Einkauf et al. Nov 2016 A1
20160328159 Coddington et al. Nov 2016 A1
20160330111 Manghirmalani et al. Nov 2016 A1
20160352588 Subbarayan et al. Dec 2016 A1
20160353268 Senarath et al. Dec 2016 A1
20160359738 Sullenberger et al. Dec 2016 A1
20160366187 Kamble Dec 2016 A1
20160371153 Dornemann Dec 2016 A1
20160380886 Blair et al. Dec 2016 A1
20160380906 Hodique et al. Dec 2016 A1
20170005986 Bansal et al. Jan 2017 A1
20170012870 Blair et al. Jan 2017 A1
20170019428 Cohn Jan 2017 A1
20170026283 Williams et al. Jan 2017 A1
20170026355 Mathaiyan et al. Jan 2017 A1
20170034046 Cai et al. Feb 2017 A1
20170034129 Sawant et al. Feb 2017 A1
20170048296 Ramalho et al. Feb 2017 A1
20170053258 Carney et al. Feb 2017 A1
20170055131 Kong et al. Feb 2017 A1
20170063674 Maskalik et al. Mar 2017 A1
20170063782 Jain et al. Mar 2017 A1
20170063794 Jain et al. Mar 2017 A1
20170064005 Lee Mar 2017 A1
20170093625 Pera et al. Mar 2017 A1
20170097841 Chang et al. Apr 2017 A1
20170104653 Badea et al. Apr 2017 A1
20170104755 Arregoces et al. Apr 2017 A1
20170109212 Gaurav et al. Apr 2017 A1
20170118173 Arramreddy et al. Apr 2017 A1
20170123939 Maheshwari et al. May 2017 A1
20170126516 Tiagi et al. May 2017 A1
20170126564 Mayya et al. May 2017 A1
20170134186 Mukundan et al. May 2017 A1
20170134520 Abbasi et al. May 2017 A1
20170139789 Fries et al. May 2017 A1
20170155557 Desai et al. Jun 2017 A1
20170163473 Sadana et al. Jun 2017 A1
20170171310 Gardner Jun 2017 A1
20170181210 Nadella et al. Jun 2017 A1
20170195161 Ruel et al. Jul 2017 A1
20170195169 Mills et al. Jul 2017 A1
20170201585 Doraiswamy et al. Jul 2017 A1
20170207976 Rovner et al. Jul 2017 A1
20170214545 Cheng et al. Jul 2017 A1
20170214701 Hasan Jul 2017 A1
20170223117 Messerli et al. Aug 2017 A1
20170237710 Mayya et al. Aug 2017 A1
20170257260 Govindan et al. Sep 2017 A1
20170257309 Appanna Sep 2017 A1
20170264496 Ao et al. Sep 2017 A1
20170279717 Bethers et al. Sep 2017 A1
20170279803 Desai et al. Sep 2017 A1
20170280474 Vesterinen et al. Sep 2017 A1
20170288987 Pasupathy et al. Oct 2017 A1
20170289002 Ganguli et al. Oct 2017 A1
20170295264 Touitou et al. Oct 2017 A1
20170302565 Ghobadi et al. Oct 2017 A1
20170310641 Jiang et al. Oct 2017 A1
20170310691 Vasseur et al. Oct 2017 A1
20170317974 Masurekar et al. Nov 2017 A1
20170337086 Zhu et al. Nov 2017 A1
20170339054 Yadav et al. Nov 2017 A1
20170339070 Chang et al. Nov 2017 A1
20170364419 Lo Dec 2017 A1
20170366445 Nemirovsky et al. Dec 2017 A1
20170366467 Martin et al. Dec 2017 A1
20170373950 Szilagyi et al. Dec 2017 A1
20170374174 Evens et al. Dec 2017 A1
20180006995 Bickhart et al. Jan 2018 A1
20180007123 Cheng et al. Jan 2018 A1
20180013636 Seetharamaiah et al. Jan 2018 A1
20180014051 Phillips et al. Jan 2018 A1
20180020035 Boggia et al. Jan 2018 A1
20180034668 Mayya et al. Feb 2018 A1
20180041425 Zhang Feb 2018 A1
20180062875 Tumuluru Mar 2018 A1
20180062914 Boutros et al. Mar 2018 A1
20180062917 Chandrashekhar et al. Mar 2018 A1
20180063036 Chandrashekhar et al. Mar 2018 A1
20180063193 Chandrashekhar et al. Mar 2018 A1
20180063233 Park Mar 2018 A1
20180063743 Tumuluru et al. Mar 2018 A1
20180069924 Tumuluru et al. Mar 2018 A1
20180074909 Bishop et al. Mar 2018 A1
20180077081 Lauer et al. Mar 2018 A1
20180077202 Xu Mar 2018 A1
20180084081 Kuchibhotla et al. Mar 2018 A1
20180097725 Wood et al. Apr 2018 A1
20180114569 Strachan et al. Apr 2018 A1
20180123910 Fitzgibbon May 2018 A1
20180131608 Jiang et al. May 2018 A1
20180131615 Zhang May 2018 A1
20180131720 Hobson et al. May 2018 A1
20180145899 Rao May 2018 A1
20180159796 Wang et al. Jun 2018 A1
20180159856 Gujarathi Jun 2018 A1
20180167378 Kostyukov et al. Jun 2018 A1
20180176073 Dubey et al. Jun 2018 A1
20180176082 Katz et al. Jun 2018 A1
20180176130 Banerjee et al. Jun 2018 A1
20180213472 Ishii et al. Jul 2018 A1
20180219765 Michael et al. Aug 2018 A1
20180219766 Michael et al. Aug 2018 A1
20180234300 Mayya et al. Aug 2018 A1
20180260125 Botes et al. Sep 2018 A1
20180262468 Kumar et al. Sep 2018 A1
20180270104 Zheng et al. Sep 2018 A1
20180278541 Wu et al. Sep 2018 A1
20180295101 Gehrmann Oct 2018 A1
20180295529 Jen et al. Oct 2018 A1
20180302286 Mayya et al. Oct 2018 A1
20180302321 Manthiramoorthy et al. Oct 2018 A1
20180307851 Lewis Oct 2018 A1
20180316606 Sung et al. Nov 2018 A1
20180351855 Sood et al. Dec 2018 A1
20180351862 Jeganathan et al. Dec 2018 A1
20180351863 Vairavakkalai et al. Dec 2018 A1
20180351882 Jeganathan et al. Dec 2018 A1
20180367445 Bajaj Dec 2018 A1
20180373558 Chang et al. Dec 2018 A1
20180375744 Mayya et al. Dec 2018 A1
20180375824 Mayya et al. Dec 2018 A1
20180375967 Pithawala et al. Dec 2018 A1
20190013883 Vargas et al. Jan 2019 A1
20190014038 Ritchie Jan 2019 A1
20190020588 Twitchell, Jr. Jan 2019 A1
20190020627 Yuan Jan 2019 A1
20190028552 Johnson et al. Jan 2019 A1
20190036808 Shenoy et al. Jan 2019 A1
20190036810 Michael et al. Jan 2019 A1
20190036813 Shenoy et al. Jan 2019 A1
20190046056 Khachaturian et al. Feb 2019 A1
20190058657 Chunduri et al. Feb 2019 A1
20190058709 Kempf et al. Feb 2019 A1
20190068470 Mirsky Feb 2019 A1
20190068493 Ram et al. Feb 2019 A1
20190068500 Hira Feb 2019 A1
20190075083 Mayya et al. Mar 2019 A1
20190103990 Cidon et al. Apr 2019 A1
20190103991 Cidon et al. Apr 2019 A1
20190103992 Cidon et al. Apr 2019 A1
20190103993 Cidon et al. Apr 2019 A1
20190104035 Cidon et al. Apr 2019 A1
20190104049 Cidon et al. Apr 2019 A1
20190104050 Cidon et al. Apr 2019 A1
20190104051 Cidon et al. Apr 2019 A1
20190104052 Cidon et al. Apr 2019 A1
20190104053 Cidon et al. Apr 2019 A1
20190104063 Cidon et al. Apr 2019 A1
20190104064 Cidon et al. Apr 2019 A1
20190104109 Cidon et al. Apr 2019 A1
20190104111 Cidon et al. Apr 2019 A1
20190104413 Cidon et al. Apr 2019 A1
20190109769 Jain et al. Apr 2019 A1
20190140889 Mayya et al. May 2019 A1
20190140890 Mayya et al. May 2019 A1
20190158371 Dillon et al. May 2019 A1
20190158605 Markuze et al. May 2019 A1
20190199539 Deng et al. Jun 2019 A1
20190220703 Prakash et al. Jul 2019 A1
20190238364 Boutros et al. Aug 2019 A1
20190238446 Barzik et al. Aug 2019 A1
20190238449 Michael et al. Aug 2019 A1
20190238450 Michael et al. Aug 2019 A1
20190238483 Marichetty et al. Aug 2019 A1
20190268421 Markuze et al. Aug 2019 A1
20190268973 Bull et al. Aug 2019 A1
20190280962 Michael et al. Sep 2019 A1
20190280963 Michael et al. Sep 2019 A1
20190280964 Michael et al. Sep 2019 A1
20190306197 Degioanni Oct 2019 A1
20190313907 Khachaturian et al. Oct 2019 A1
20190319847 Nahar et al. Oct 2019 A1
20190334820 Zhao Oct 2019 A1
20190342219 Liu et al. Nov 2019 A1
20190356736 Narayanaswamy et al. Nov 2019 A1
20190364099 Thakkar et al. Nov 2019 A1
20190372888 Michael et al. Dec 2019 A1
20190372889 Michael et al. Dec 2019 A1
20190372890 Michael et al. Dec 2019 A1
20200014615 Michael et al. Jan 2020 A1
20200014616 Michael et al. Jan 2020 A1
20200014661 Mayya et al. Jan 2020 A1
20200021514 Michael et al. Jan 2020 A1
20200021515 Michael et al. Jan 2020 A1
20200036624 Michael et al. Jan 2020 A1
20200059420 Abraham Feb 2020 A1
20200059459 Abraham et al. Feb 2020 A1
20200092207 Sipra et al. Mar 2020 A1
20200097327 Beyer et al. Mar 2020 A1
20200099659 Cometto et al. Mar 2020 A1
20200106696 Michael et al. Apr 2020 A1
20200106706 Mayya et al. Apr 2020 A1
20200119952 Mayya et al. Apr 2020 A1
20200127905 Mayya et al. Apr 2020 A1
20200127911 Gilson et al. Apr 2020 A1
20200153736 Liebherr et al. May 2020 A1
20200169473 Rimar et al. May 2020 A1
20200177503 Hooda et al. Jun 2020 A1
20200204460 Schneider et al. Jun 2020 A1
20200213212 Dillon et al. Jul 2020 A1
20200213224 Cheng et al. Jul 2020 A1
20200218558 Sreenath et al. Jul 2020 A1
20200235990 Janakiraman et al. Jul 2020 A1
20200235999 Mayya et al. Jul 2020 A1
20200236046 Jain et al. Jul 2020 A1
20200244721 S et al. Jul 2020 A1
20200252234 Ramamoorthi et al. Aug 2020 A1
20200259700 Bhalla et al. Aug 2020 A1
20200267184 Vera-Schockner Aug 2020 A1
20200280587 Janakiraman et al. Sep 2020 A1
20200287819 Theogaraj et al. Sep 2020 A1
20200287976 Theogaraj et al. Sep 2020 A1
20200296011 Jain et al. Sep 2020 A1
20200296026 Michael et al. Sep 2020 A1
20200314006 Mackie et al. Oct 2020 A1
20200314614 Moustafa et al. Oct 2020 A1
20200336336 Sethi et al. Oct 2020 A1
20200344143 Faseela et al. Oct 2020 A1
20200344163 Gupta et al. Oct 2020 A1
20200351188 Arora et al. Nov 2020 A1
20200366530 Mukundan et al. Nov 2020 A1
20200382345 Zhao et al. Dec 2020 A1
20200382387 Pasupathy et al. Dec 2020 A1
20200412576 Kondapavuluru et al. Dec 2020 A1
20200413283 Shen et al. Dec 2020 A1
20210006482 Hwang et al. Jan 2021 A1
20210006490 Michael et al. Jan 2021 A1
20210029088 Mayya et al. Jan 2021 A1
20210036888 Makkalla et al. Feb 2021 A1
20210067372 Cidon et al. Mar 2021 A1
20210067373 Cidon et al. Mar 2021 A1
20210067374 Cidon et al. Mar 2021 A1
20210067375 Cidon et al. Mar 2021 A1
20210067407 Cidon et al. Mar 2021 A1
20210067427 Cidon et al. Mar 2021 A1
20210067461 Cidon et al. Mar 2021 A1
20210067464 Cidon et al. Mar 2021 A1
20210067467 Cidon et al. Mar 2021 A1
20210067468 Cidon et al. Mar 2021 A1
20210105199 H et al. Apr 2021 A1
20210126853 Ramaswamy et al. Apr 2021 A1
20210126854 Guo et al. Apr 2021 A1
20210126860 Ramaswamy et al. Apr 2021 A1
20210144091 H et al. May 2021 A1
20210160813 Gupta et al. May 2021 A1
20210184952 Mayya et al. Jun 2021 A1
20210184966 Ramaswamy et al. Jun 2021 A1
20210184983 Ramaswamy et al. Jun 2021 A1
20210194814 Roux et al. Jun 2021 A1
20210226880 Ramamoorthy et al. Jul 2021 A1
20210234728 Cidon et al. Jul 2021 A1
20210234775 Devadoss et al. Jul 2021 A1
20210234786 Devadoss et al. Jul 2021 A1
20210234804 Devadoss et al. Jul 2021 A1
20210234805 Devadoss et al. Jul 2021 A1
20210235312 Devadoss et al. Jul 2021 A1
20210235313 Devadoss et al. Jul 2021 A1
20210279069 Salgaonkar et al. Sep 2021 A1
20210328835 Mayya et al. Oct 2021 A1
20210377109 Shrivastava et al. Dec 2021 A1
20210377156 Michael et al. Dec 2021 A1
20210392060 Silva et al. Dec 2021 A1
20210399978 Michael et al. Dec 2021 A9
20210400113 Markuze et al. Dec 2021 A1
Foreign Referenced Citations (21)
Number Date Country
1926809 Mar 2007 CN
102811165 Dec 2012 CN
104956329 Sep 2015 CN
1912381 Apr 2008 EP
3041178 Jul 2016 EP
3509256 Jul 2019 EP
2010233126 Oct 2010 JP
2574350 Feb 2016 RU
03073701 Sep 2003 WO
2012167184 Dec 2012 WO
2016061546 Apr 2016 WO
2017083975 May 2017 WO
2019070611 Apr 2019 WO
2019094522 May 2019 WO
2020012491 Jan 2020 WO
2020018704 Jan 2020 WO
2020101922 May 2020 WO
2020112345 Jun 2020 WO
2021040934 Mar 2021 WO
2021118717 Jun 2021 WO
2021150465 Jul 2021 WO
Non-Patent Literature Citations (44)
Entry
Del Piccolo, Valentin, et al., “A Survey of Network Isolation Solutions for Multi-Tenant Data Centers,” IEEE Communications Society, Apr. 20, 2016, vol. 18, No. 4, 37 pages, IEEE.
Fortz, Bernard, et al., “Internet Traffic Engineering by Optimizing OSPF Weights,” Proceedings IEEE INFOCOM 2000, Conference on Computer Communications, Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, Mar. 26-30, 2000, 11 pages, IEEE, Tel Aviv, Israel, Israel.
Francois, Frederic, et al., “Optimizing Secure SDN-enabled Inter-Data Centre Overlay Networks through Cognitive Routing,” 2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), Sep. 19-21, 2016, 10 pages, IEEE, London, UK.
Michael, Nithin, et al., “HALO: Hop-by-Hop Adaptive Link-State Optimal Routing,” IEEE/ACM Transactions on Networking, Dec. 2015, 14 pages, vol. 23, No. 6, IEEE.
Mishra, Mayank, et al., “Managing Network Reservation for Tenants in Oversubscribed Clouds,” 2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems, Aug. 14-16, 2013, 10 pages, IEEE, San Francisco, CA, USA.
Non-Published Commonly Owned U.S. Appl. No. 17/068,603, filed Oct. 12, 2020, 37 pages, Nicira, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/818,862, filed Mar. 13, 2020, 198 pages, The Mode Group.
Ray, Saikat, et al., “Always Acyclic Distributed Path Computation,” University of Pennsylvania Department of Electrical and Systems Engineering Technical Report, May 2008, 16 pages, University of Pennsylvania ScholarlyCommons.
Webb, Kevin C., et al., “Blender: Upgrading Tenant-Based Data Center Networking,” 2014 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), Oct. 20-21, 2014, 11 pages, IEEE, Marina del Rey, CA, USA.
Yap, Kok-Kiong, et al., “Taking the Edge off with Espresso: Scale, Reliability and Programmability for Global Internet Peering,” SIGCOMM '17: Proceedings of the Conference of the ACM Special Interest Group on Data Communication, Aug. 21-25, 2017, 14 pages, Los Angeles, CA.
Mudigonda, Jay Aram, et al., “NetLord: A Scalable Multi-Tenant Network Architecture for Virtualized Datacenters,” Proceedings of the ACM SIGCOMM 2011 Conference, Aug. 15-19, 2011, 12 pages, ACM, Toronto, Canada.
Non-Published Commonly Owned U.S. Appl. No. 16/662,363, filed Oct. 24, 2019, 129 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/662,379, filed Oct. 24, 2019, 123 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/662,402, filed Oct. 24, 2019, 128 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/662,427, filed Oct. 24, 2019, 165 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/662,489, filed Oct. 24, 2019, 165 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/662,510, filed Oct. 24, 2019, 165 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/662,531, filed Oct. 24, 2019, 135 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/662,570, filed Oct. 24, 2019, 141 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/662,587, filed Oct. 24, 2019, 145 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/662,591, filed Oct. 24, 2019, 130 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/721,964, filed Dec. 20, 2019, 39 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/721,965, filed Dec. 20, 2019, 39 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/792,908, filed Feb. 18, 2020, 48 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/792,909, filed Feb. 18, 2020, 49 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/851,294, filed Apr. 17, 2020, 59 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/851,301, filed Apr. 17, 2020, 59 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/851,308, filed Apr. 17, 2020, 59 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/851,314, filed Apr. 17, 2020, 59 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/851,323, filed Apr. 17, 2020, 59 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/851,397, filed Apr. 17, 2020, 59 pages, VMware, Inc.
Non-Published Commonly Owned U.S. Appl. No. 16/945,700, filed Jul. 31, 2020, 37 pages, Nicira, Inc.
Petition for Post-Grant Review of U.S. Pat. No. 9,722,815, filed May 1, 2018, 106 pages.
Huang, Cancan, et al., “Modification of Q.SD-WAN,” Rapporteur Group Meeting—Doc, Study Period 2017-2020, Q4/11-DOC1 (190410), Study Group 11, Apr. 10, 2019, 19 pages, International Telecommunication Union, Geneva, Switzerland.
Non-published Commonly Owned U.S. Appl. No. 17/187,913, filed Mar. 1, 2021, 27 pages, Nicira, Inc.
Guo, Xiangyi, et al., U.S. Appl. No. 62/925,193, filed Oct. 23, 2019, 26 pages.
Non-Published Commonly Owned U.S. Appl. No. 17/361,292, filed Jun. 28, 2021, 35 pages, Nicira, Inc.
Sarhan, Soliman Abd Elmonsef, et al., “Data Inspection in SDN Network,” 2018 13th International Conference on Computer Engineering and Systems (ICCES), Dec. 18-19, 2018, 6 pages, IEEE, Cairo, Egypt.
Xie, Junfeng, et al., A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges, IEEE Communications Surveys & Tutorials, Aug. 23, 2018, 38 pages, vol. 21, Issue 1, IEEE.
Lasserre, Marc, et al., “Framework for Data Center (DC) Network Virtualization,” RFC 7365, Oct. 2014, 26 pages, IETF.
Lin, Weidong, et al., “Using Path Label Routing in Wide Area Software-Defined Networks with Open Flow,” 2016 International Conference on Networking and Network Applications, Jul. 2016, 6 pages, IEEE.
Non-Published Commonly Owned U.S. Appl. No. 17/562,890, filed Dec. 27, 2021, 36 pages, VMware, Inc.
Cox, Jacob H., et al., “Advancing Software-Defined Networks: A Survey,” IEEE Access, Oct. 12, 2017, 40 pages. vol. 5, IEEE, retrieved from https://ieeexplore.IEEE.org/document/8066287.
Noormohammadpour, Mohammad, et al., “DCRoute: Speeding up Inter-Datacenter Traffic Allocation while Guaranteeing Deadlines,” 2016 IEEE 23rd International Conference on High Performance Computing (HiPC), Dec. 19-22, 2016, 9 pages, IEEE, Hyderabad, India.
Related Publications (1)
Number Date Country
20200366562 A1 Nov 2020 US
Provisional Applications (2)
Number Date Country
62523477 Jun 2017 US
62457816 Feb 2017 US
Continuations (1)
Number Date Country
Parent 15707124 Sep 2017 US
Child 16945867 US