TELEMETRY-BASED SEGMENT ROUTING USING MACHINE LEARNING

    公开(公告)号:US20240430202A1

    公开(公告)日:2024-12-26

    申请号:US18336675

    申请日:2023-06-16

    Abstract: In some embodiments, there may be provided a method that includes receiving, as a first input to a machine learning model, a measured link load; receiving, as a second input to the machine learning model, information indicating a network topology; receiving, as a third input to the machine learning model, at least one deflection parameter; learning, by the machine learning model, a first output to provide at least one updated deflection parameter, wherein the at least one updated deflection parameter indicates the fractional amount of traffic that is to be carried between the source node and the destination node and deflected through the intermediate node; and learning, by the machine learning model, a second output to provide dual variables that serve as a surrogate for a traffic matrix that could have generated the measured link load that is measured for the link of the network.

    OPAQUE ROUTING ON OVERLAY NETWORKS: A STRUCTURED NEURAL NET BASED APPROACH

    公开(公告)号:US20250088429A1

    公开(公告)日:2025-03-13

    申请号:US18466195

    申请日:2023-09-13

    Abstract: In some embodiments, there may be provided a method that includes receiving, as a first input to a first machine learning model, at least a first traffic matrix indicative of an amount of traffic routed among at least one node pair of an overlay network; receiving, as a second input to the first machine learning model, information indicative of overlay network routing among the at least one node pair of the overlay network; receiving, as a third input to the first machine learning model, measured delay between the at least one node pair of the overlay network; and learning, by the first machine learning model, a representation of an underlay network, the learning using a minimization of a difference between an average delay in the underlay network and the measured delay between the at least one node pair of the overlay network.

    PUBLISH-SUBSCRIBE BASED ON SEPARATION OF CONTROL AND DATA FUNCTIONS

    公开(公告)号:US20250133143A1

    公开(公告)日:2025-04-24

    申请号:US18891904

    申请日:2024-09-20

    Abstract: Various example embodiments for supporting pub-sub systems may be configured to support communications between pub-sub clients of pub-sub systems based on separation of control plane functions and data plane functions of legacy pub-sub brokers which typically facilitate establishment and use of pub-sub sessions by pub-sub clients. Various example embodiments for supporting pub-sub systems may be configured to support communications between pub-sub clients of pub-sub systems based on separation of the control plane functions and the data plane functions of a legacy pub-sub broker into individual logical entities in the form of a control function (CF) and a data function (DF), respectively. Various example embodiments for supporting pub-sub systems may be configured to support communications of a pub-sub client of a pub-sub system based on appropriate DF selection at pub-sub session setup and DF reselection within the active pub-sub session as conditions change.

    Telemetry-based segment routing using machine learning

    公开(公告)号:US12255821B2

    公开(公告)日:2025-03-18

    申请号:US18336675

    申请日:2023-06-16

    Abstract: In some embodiments, there may be provided a method that includes receiving, as a first input to a machine learning model, a measured link load; receiving, as a second input to the machine learning model, information indicating a network topology; receiving, as a third input to the machine learning model, at least one deflection parameter; learning, by the machine learning model, a first output to provide at least one updated deflection parameter, wherein the at least one updated deflection parameter indicates the fractional amount of traffic that is to be carried between the source node and the destination node and deflected through the intermediate node; and learning, by the machine learning model, a second output to provide dual variables that serve as a surrogate for a traffic matrix that could have generated the measured link load that is measured for the link of the network.

    MACHINE LEARNING SEGMENT ROUTING FOR MULTIPLE TRAFFIC MATRICES

    公开(公告)号:US20240348547A1

    公开(公告)日:2024-10-17

    申请号:US18298660

    申请日:2023-04-11

    CPC classification number: H04L47/12 H04L41/16 H04L45/34

    Abstract: In some embodiments, there may be provided a method that includes receiving a first traffic matrix; receiving information regarding links associated with each segment of the network; determining a total amount of segment flow using the at least one non-linear deflection parameter applied to the traffic demand of the first traffic matrix; determining a link flow for each of the links using the total amount of segment flow and the second input to the machine learning model; determining link utilization for each of the links using the link flows and a capacity for each of the links; learning, by the machine learning model using a gradient descent, a minimum of a maximum amount of the link utilization over the links by at least adjusting a value of the at least one non-linear deflection parameter. Related systems, methods, and articles of manufacture are also disclosed.

    IN-NETWORK SOLUTION FOR LOW-LATENCY COMMUNICATIONS USING SEGMENT ROUTING

    公开(公告)号:US20240195738A1

    公开(公告)日:2024-06-13

    申请号:US18063302

    申请日:2022-12-08

    CPC classification number: H04L45/74 H04L45/58

    Abstract: A segment routing (SR) network has a plurality of interconnected SR gateways, where each of a plurality of local networks is connectable to an SR gateway at an edge router of the local network. An SR network control plane maintains a locator database that maps (i) a global IP (GIP) address for user equipment (UE) to (ii) an IP address of a downstream node associated with the UE along a path from the SR network to the UE. An SR gateway (i) receives a message for the UE and (ii) addresses the message to the IP address of the downstream node. The SR network control plane updates the locator database to map (i) the GIP address for the UE to (ii) a different IP address of a downstream node upon the SR network control plane determining that the association of the UE has changed to the different IP address.

    STATELESS AND SECURE PACKET FORWARDING
    7.
    发明公开

    公开(公告)号:US20230261969A1

    公开(公告)日:2023-08-17

    申请号:US17669509

    申请日:2022-02-11

    Abstract: Various example embodiments for supporting multicast are presented herein. Various example embodiments for supporting stateless multicast may be configured to support stateless multicasting of packets based on encoding of multicast path information within the packets. Various example embodiments for supporting stateless multicasting of packets based on encoding of multicast path information within the packets may be configured to use a recursive scheme of encoding the multicast path information within the packets such that the header that arrives at each node of the multicast path informs the node of the outgoing links over which the packet is to be sent and the headers to be sent on the outgoing links (e.g., each node of the multicast tree is able to recognize each of its outgoing links from the received header and send the appropriate subtree encoding down each of its outgoing links).

Patent Agency Ranking