At&t Intellectual Property I, L.p.

Alvin Goddard

Gagan Choudhury

Narayan Padi

Simon Tse

Kathleen S Meier-Hellstern

Harpreet Ahluwalia

Kenichi Futamura

Tzuu-Yi Wang

Shweta Vachhani

Aswatnarayan Raghuram

Lynn Rivera

Martin Birk

Kathleen Tse

Timothy E Gallivan

Kang Xi

Sheshashailavas Chinthakayala

Manu Thannickal

Juby J Chacko

Catherine Ferraro

Aspects of the subject disclosure may include, for example, detecting whether a bandwidth capacity loss occurs on a first link bundle connecting one or more first core routers of a core Interior Gateway Protocol (IGP) network with one or more first provider routers, resulting in a detected capacity loss, wherein communication between the one or more first core routers of the core IGP network and the one or more first provider routers utilizes a Border Gateway Protocol (BGP), wherein a second link bundle connects one or more second core routers of the core IGP network with one or more second provider routers, and wherein communication between the one or more second core routers of the core IGP network and one or more second provider routers utilizes the BGP; responsive to the detected capacity loss, automatically increasing a cost associated with selected network traffic that was to be carried between the one or more first provider routers and the one or more first core routers of the core IGP network and that will instead be re-directed for communication via the second link bundle; and causing communication via the second link bundle of the selected network traffic, wherein the communication via the second link bundle of the selected network traffic is between the one or more second provider routers and the one or more second core routers of the core IGP network. Other embodiments are disclosed.

Systems and methods to optimize routing in BGP (Border Gateway Protocol) networks

Aspects of the subject disclosure may include, for example, generating a set of SRLGs associated with a set of link bundles, wherein the set of SRLGs comprises for each SRLG in the set of SRLGs an indication for each failed link bundle in a particular SRLG a respective bandwidth failure fraction, and wherein for at least one of the failed link bundles the failure is less than a complete failure; generating a set of dominance relationships among the SRLGs in the set of SRLGs, and generating, based at least in part upon the set of SRLGs and the set of dominance relationships a packed set of SRLGs, wherein the packed set of SRLGs comprises a subset of the set of SRLGs. Other embodiments are disclosed.

Dynamic shared risk link group (SRLG) compression

Aspects of the subject disclosure may include, for example, obtaining for a first path carrying first network traffic a corresponding first alternate path; obtaining for a second path carrying second network traffic a corresponding second alternate path, at least a first portion of the first alternate path being the same as at least a second portion of the second alternate path; responsive to a first detected failure on the first path, causing communication of first re-directed network traffic via the first alternate path instead of via the first path; responsive to a second detected failure on the second path, detecting whether total traffic, including the first re-directed network traffic, on the first portion of the first alternate path meets a threshold; responsive to the detected meeting of the threshold, obtaining for the second path a corresponding back-up alternate path; and causing communication of second re-directed network traffic via the back-up alternative path instead of via the second path. Other embodiments are disclosed.

Centralized method for computing bypass/FRR (fast re-route) tunnels

A parser model may be used with software-defined applications or controllers. A network topology may be detected and based on the change in the network topology, a network device may filter certain network data traffic for processing by a software-defined network controller.

Network data extraction parser-model in SDN

A software-defined network multi-layer controller (SDN-MLC) may communicate with multiple layers of a telecommunication network. The SDN-MLC may have an optimization algorithm that helps manage, in near real-time, the multiple layers of the telecommunication network.

Multi-layer system optimization

Concepts and technologies disclosed herein are directed to deadlock-free traffic rerouting in software-defined networking ('SDN') networks. According to one aspect of the concepts and technologies disclosed herein, a centralized SDN controller can determine that a packet flow along a path within at least a portion of a network is to be rerouted from the path to a new path. The centralized SDN controller can initiate a reroute of the packet flow to the new path. The centralized SDN controller can request a bandwidth for the new path. The bandwidth can be determined such that bandwidth oversubscription on the new path is avoided. In response to the packet flow settling on the new path, the centralized SDN controller can adjust a requested bandwidth of the packet flow to a desired value to complete the reroute of the packet flow from the path to the new path.

Deadlock-free traffic rerouting in software-deifned networking networks

In one example, a method for monitoring the state and health of a centralized software defined networking controller includes detecting, by a standby software defined networking controller, when a number of path computation client sessions reported by an active software defined networking controller fails to match an expected number; verifying, by the standby software defined networking controller after expiration of a predefined delay implemented after the detecting, that the number of path computation client sessions reported by the active software defined networking controller still fails to match the expected number; and assuming, by the standby software defined networking controller after the verifying, a role of the active software defined networking controller.

Providing high availability in a software defined network

Multi-layer system self-optimization

Growing community of inventors

Kendall Park, NJ, United States of America

Alvin Goddard