DYNAMIC TUNNEL SPLIT/MERGE USING CENTRALIZED CONTROLLER

    公开(公告)号:US20230370363A1

    公开(公告)日:2023-11-16

    申请号:US17744274

    申请日:2022-05-13

    CPC classification number: H04L45/247

    Abstract: Aspects of the subject disclosure may include, for example, obtaining node data identifying for a network a source node, a destination node and a plurality of other nodes; obtaining reference path data identifying a reference path from the source node to the destination node; obtaining alternate path data identifying a plurality of alternate paths from the source node to the destination node, setting for the reference path a possible split threshold identifying a traffic bandwidth which can trigger a re-direction of traffic from the reference path; determining whether a current traffic flow on the reference path meets the possible split threshold, resulting in a first determination; responsive to the first determination, obtaining, subsequent to the setting for the reference path of the possible split threshold, current alternate path data for each of the plurality of alternate paths, wherein the current alternate path data comprises for each of the alternate paths a respective current alternate path bandwidth availability; responsive to the obtaining of the current alternate path data, determining whether a particular one of the plurality of alternate paths can support carrying of at least some of the current traffic flow on the reference path, resulting in a second determination, wherein the second determination is based at least in part upon the current alternate path bandwidth availability of each of the plurality of alternate paths; and responsive to the second determination, re-directing a portion of the current traffic flow from the reference path to the particular one of the alterative paths. Other embodiments are disclosed.

    SYSTEMS AND METHODS TO OPTIMIZE ROUTING IN BGP (BORDER GATEWAY PROTOCOL) NETWORKS

    公开(公告)号:US20230261967A1

    公开(公告)日:2023-08-17

    申请号:US17672320

    申请日:2022-02-15

    Abstract: 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.

    TRAFFIC MATRIX PREDICTION AND FAST REROUTE PATH COMPUTATION IN PACKET NETWORKS

    公开(公告)号:US20210029030A1

    公开(公告)日:2021-01-28

    申请号:US17068786

    申请日:2020-10-12

    Abstract: A processing system including at least one processor may obtain traffic measurements for end-to-end paths in a telecommunication network, calculate traffic estimates for the end-to-end paths in future time periods based on the traffic measurements in accordance with at least one machine learning model, calculate traffic estimates for primary paths in the telecommunication network based upon the traffic estimates for the end-to-end paths, compute a backup path configuration for a primary path of the telecommunication network for the future time periods based upon the traffic estimates for the primary paths in the future time periods, detect a change in the backup path configuration for the primary path in a future time period based upon the computing, and adjust a backup path in accordance with the backup path configuration when the change in the backup path configuration is detected.

    Traffic matrix prediction and fast reroute path computation in packet networks

    公开(公告)号:US10581736B1

    公开(公告)日:2020-03-03

    申请号:US16189786

    申请日:2018-11-13

    Abstract: A processing system including at least one processor may obtain traffic measurements for end-to-end paths in a telecommunication network, calculate traffic estimates for the end-to-end paths in future time periods based on the traffic measurements in accordance with at least one machine learning model, calculate traffic estimates for primary paths in the telecommunication network based upon the traffic estimates for the end-to-end paths, compute a backup path configuration for a primary path of the telecommunication network for the future time periods based upon the traffic estimates for the primary paths in the future time periods, detect a change in the backup path configuration for the primary path in a future time period based upon the computing, and adjust a backup path in accordance with the backup path configuration when the change in the backup path configuration is detected.

    REROUTING TUNNEL TRAFFIC IN COMMUNICATION NETWORKS

    公开(公告)号:US20180241663A1

    公开(公告)日:2018-08-23

    申请号:US15960147

    申请日:2018-04-23

    Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to reroute tunnel traffic in a network are disclosed. Example methods disclosed herein include, in response to detecting an event associated with routing first traffic in the network, determining a plurality of paths to carry respective traffic for a plurality of tunnels between pairs of routers in the network, the plurality of paths being determined based on a quality metric characterizing an aggregate tunnel bandwidth to be carried by the plurality of paths for the plurality of tunnels. Such disclosed example methods also include sending first routing information describing the plurality of paths to the routers in the network to cause the routers to route the respective traffic for the plurality of tunnels using the plurality of paths.

    CENTRALIZED METHOD FOR COMPUTING BYPASS/FRR (FAST RE-ROUTE) TUNNELS

    公开(公告)号:US20250088458A1

    公开(公告)日:2025-03-13

    申请号:US18955257

    申请日:2024-11-21

    Abstract: 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.

    Traffic matrix prediction and fast reroute path computation in packet networks

    公开(公告)号:US10805214B2

    公开(公告)日:2020-10-13

    申请号:US16806837

    申请日:2020-03-02

    Abstract: A processing system including at least one processor may obtain traffic measurements for end-to-end paths in a telecommunication network, calculate traffic estimates for the end-to-end paths in future time periods based on the traffic measurements in accordance with at least one machine learning model, calculate traffic estimates for primary paths in the telecommunication network based upon the traffic estimates for the end-to-end paths, compute a backup path configuration for a primary path of the telecommunication network for the future time periods based upon the traffic estimates for the primary paths in the future time periods, detect a change in the backup path configuration for the primary path in a future time period based upon the computing, and adjust a backup path in accordance with the backup path configuration when the change in the backup path configuration is detected.

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