Future Wei Technologies, Inc.

Xilinx, Inc.

Vishay-siliconix

Huawei Technologies Co., Limited

Min Luo

Wu Chou

Kang Xi

Hung-Hsiang Jonathan Chao

Ian F Akyildiz

Jiao Wang

Jiafeng Zhu

Shih-Chun Lin

Li Li

Changcheng Huang

Junjie Zhang

Kyle Terrill

H Jonathan Chao

Xiuli Zheng

Randy J Simmons

David Mark

Quancai Li

Weisheng Xie

Yingjun Tian

Ke Lin

Cing-Yu Chu

Cing-yu Chu

David Estevez

Chrisoph Werres

David Guiterrez Estevez

A network apparatus for a network software service layer (NSSL) service bus. The network apparatus includes a memory storing executable instructions and a processor coupled to the memory, the processor executing the executable instructions, where the processor is configured to receive a service description comprising a named service and a network identifier identifying a network node associated with the named service, select a service description according to the named service, and transmit a named service request to the network node according to the service description selected.

System and apparatus of a software-service-defined-network (SSDN)

The claimed subject matter is directed to novel methods and systems for a network topology wherein an Internet Protocol (IP) network is partially integrated and enhanced with a relatively small number of Software Defined Network (SDN)-Openflow (SDN-OF) enabled network devices to provide a resilient network that is able to quickly recover from a network failure and achieves post-recovery load balancing while minimizing cost and complexity. The SDN-OF Controller, or a management node, determines such a minimum set of SDN-OF enabled devices and establishes IP tunnels to route traffic from nodes affected by failure to designated SDN-OF switches and finally to the final destination without looping back to the failed link or node. By combining SDN-OF enabled switches with IP nodes such as routers, a novel network architecture and methods are described herein that allows for ultra-fast and load balancing-aware failure recovery of the data network.

Partial software defined network switch replacement in IP networks

A network element (NE) comprising a receiver configured to receive packets from a plurality of flows, and a processor coupled to the receiver and configured to perform classification on the plurality of flows according to arrivals of the packets to classify the plurality of flows into a heavy-tailed (HT) class and a light-tailed (LT) class assign scheduling weights to the plurality of flows according to the classification, and select a scheduling policy to forward the packets of the plurality of flows according to the scheduling weights.

Maximize network capacity policy with heavy-tailed traffic

A network controller comprising a processor configured to obtain topology information of a network, wherein the topology information indicates a plurality of non-software-defined networking (non-SDN) network elements (NEs) interconnected by a plurality of links in the network, analyze each non-SDN NE according to the topology information to determine whether the non-SDN NE is a candidate NE for establishing a backup tunnel to protect a single-link failure at one of the plurality of links, and select a plurality of target NEs from the candidate NEs to protect against all single link-failures in the network, and a transmitter coupled to the processor and configured to send a first message to a first of the target NEs to dynamically enable software-defined networking (SDN) functionalities at the first target NE in order to facilitate single-link failure protection in the network.

Capacity-aware heuristic approach for placing software-defined networking (SDN) switches in hybrid SDN networks for single link/node failure

A method includes obtaining traffic statistics of accepted hybrid traffic at a controller of a software defined network that includes multiple local switches coupled by links, calculating an end to end delay associated with the accepted hybrid traffic, determining network stability thresholds from each local switch as a function of network congestion, determining an adjusted rate decision policy as a function of the end to end delay and the network stability thresholds, the adjusted rate decision policy for use by an edge switch to determine whether or not to accept offered traffic loads.

Software defined network traffic congestion control

An apparatus comprising a processor configured to obtain estimated processing requirements, estimated memory requirements, estimated storage requirements, and estimated network communication requirements for a plurality of data center (DC) tenants; determine a Minimum Resource Schedulable Unit (MRSU) for the tenants, the determined MRSU comprising a dynamically allocatable group of processor resources, processing memory resources, storage resources, and network resources comprised in at least one of a plurality of DC servers, wherein the MRSU is determined such that each DC tenant's estimated processing requirements, estimated memory requirements, estimated storage requirements, and estimated network communications requirements are met by allocation of a corresponding integer value of MRSUs; and allocate the corresponding integer value of MRSUs to each DC tenant as an MRSU allocation; and a transmitter coupled to the processor and configured to transmit the MRSU allocation to the DC servers for allocation to the DC tenants.

Application driven and adaptive unified resource management for data centers with Multi-Resource Schedulable Unit (MRSU)

A method includes determining a number and placement of multiple controllers in a software defined network (SDN) such that each controller controls a different set of software controlled switches in the SDN and finding optimal forwarding paths for control traffic between the switches and controllers to minimize delay of control traffic over the software defined network.

Multi-controller control traffic balancing in software defined networks

A client is provided with information that defines a virtual network for the client, where the virtual network is implemented on a physical network. A label is assigned to the virtual network. The label is sent to packet-handling devices in the physical network that are part of the virtual network. The label is also sent to a controller of the virtual network. The first label is then included in data packets sent over the virtual network. The packet-handling devices handle the data packets on the virtual network according to a policy associated with the label.

Packet labeling in a virtual network

A software-defined networking (SDN) OpenFlow apparatus comprises a processor, and a memory system coupled to the processor and comprising a flow pipeline, wherein the flow pipeline comprises a series of flow tables, wherein each of the flow tables comprises at least one match field, wherein the match fields correspond to a plurality of network services, wherein the match fields are ordered based on a prioritization of the network services, which of the match fields are shared among the network services, a shared dependency of the match fields, and processing speed, and wherein the prioritization is based on which network services are most important and which network services are most frequently used.

Packet prioritization in a software-defined network implementing OpenFlow

An OpenFlow (OF) adaptor comprising at least one OF port configured to communicate with an OF Controller, at least one Non-OF (NOF) port configured to communicate with a NOF switch, and at least one processor coupled to the OF port and the NOF port and configured to receive a first OF message comprising network data from the OF controller via the OF port, translate the first OF message into a first NOF message, wherein the first NOF message comprises network data analogous to the first OF message network data encoded in a format supported by the NOF switch, and transmit the first NOF message toward the NOF switch via the NOF port.

Transformation and unified control of hybrid networks composed of OpenFlow switches and other programmable switches

Given a large number of traffic matrices, the matrices are divided into M clusters, where M is a relatively small number. A load-balancing apparatus is implemented as an application over the SDN controller. Such an application is executed to configure and reconfigure the switches to achieve near-optimal load balancing, even when the traffic load changes. For each cluster, a near-optimal explicit routing configuration is determined. The combination of explicit routing (cluster-specific) and destination-based routing (same for all clusters) is used to achieve near-optimal load balancing for each cluster.

Apparatus and method for dynamic hybrid routing in SDN networks to avoid congestion and balance loads under changing traffic load

Embodiments of the present disclosure are directed to systems and methods for allocating spectrum of a flexible-grid optical network to a plurality of virtual links. Given a set of optical channels of different line rates and channel widths, a user can reserve one of the optical channels as a long-term reservation. The user can later elect to downgrade its optical channel to a smaller optical channel with lower line rate and less spectrum, for example, when the user's traffic demands decrease. The user may return (e.g., sell or de-allocate) an amount of unused spectrum to the carrier, and the carrier creates and manages a resource pool to gather unused spectrum from users. When the user's traffic increases, the user may obtain (e.g., purchase) additional spectrum from the carrier's resource pool and/or upgrade the user's optical channel to an optical channel having a higher line rate.

Hardware and software methodologies for dynamic resource allocation in virtualized flexible-grid optical networks

A controller having an application optimally routing traffic to balance fluctuating traffic loads in a SDN network. A processor is configured to control the data plane to establish routing through the plurality of routers, wherein the processor is configured to establish hybrid routing comprising both explicit routing and destination-based routing. The processor utilizes a set of traffic matrices representing the fluctuating traffic load over time. A destination-based multi-path routing algorithm is configured to improve load balancing of the traffic load based on the set of representative traffic matrices. The destination based routing is calculated based on linear programming. The processor comprises a traffic categorization algorithm configured to identify a set of key flows, wherein the processor is configured to explicitly route the set of key flows. The processor is configured such that the set of key flows consume a small fraction of a ternary content-addressable memory (TCAM), and such that the set of key flows provide a routing decision for a large portion of the traffic load.

Apparatus for hybrid routing in SDN networks to avoid congestion and achieve good load balancing under fluctuating traffic load

A network apparatus for coupling control plane controllers and data plane switches in a global software service defined network (SSDN), wherein the global SSDN comprises a plurality of local SSDNs, comprising a network software service layer (NSSL) service bus comprising a processor, wherein the NSSL service bus is coupled to a plurality of network controllers and to a plurality of network switches, wherein the NSSL service bus is configured to coordinate the actions of the plurality of network controllers, wherein the NSSL service bus is configured to expose the plurality of controllers as services addressable by service names, wherein the NSSL service bus is configured to extend a local SSDN into a global SSDN network; and wherein the NSSL service bus is configured to provide the network controllers with global network information, such that the network controllers provide end-to-end service routing in the global SSDN network.

A method for distributing routing instructions to a plurality of nodes within an OpenFlow Software Defined Network (SDN) using a logically centralized multi-controller that comprises a plurality of controllers, wherein the method comprises receiving a plurality of incoming data packets, storing a plurality of current flow tables, queuing the incoming data packets, wherein the incoming data packets are queued based on the order received, processing the incoming data packets based on the order the incoming data packets were queued, wherein the incoming data packets that are first to be queued are the first to be processed, generating a plurality of flow tables by processing the incoming data packets, and transmitting the flow tables to the plurality of nodes when the flow tables have not been previously generated.

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San Jose, CA, United States of America

Min Luo