Network traffic optimization using in-situ notification system

    公开(公告)号:US10819571B2

    公开(公告)日:2020-10-27

    申请号:US16024100

    申请日:2018-06-29

    Abstract: Aspects of the disclosed technology address the problems of manually identifying and optimizing service function chaining (SFC) performance in response to changes in traffic profiles. In one aspect of the present disclosure, a method includes monitoring, by a first network component, incoming data packets; detecting, by the first network component, a change in a traffic profile of the incoming data packets; generating, by the first network component, in-band information on changes in the traffic profile; and transmitting, by the first network component, the in-band information with one or more data packets of the incoming data packets, the in-band information being used by a second network component to adjust one or more corresponding settings for servicing the incoming data packets.

    SERVICE FUNCTION CHAIN OPTIMIZATION USING LIVE TESTING

    公开(公告)号:US20200287792A1

    公开(公告)日:2020-09-10

    申请号:US16883170

    申请日:2020-05-26

    Abstract: Aspects of the disclosed technology address the problems of manually identifying and optimizing service chain (SC) performance bottlenecks by providing solutions for automatically identifying and tuning various SC parameters. In some aspects, a SC optimization process of the disclosed technology includes the replication or cloning of a SC for which traffic flow is to be optimized. Traffic flows for the production chain can then be simulated over one or more SC clones to identify and tune individual system parameters, for example, to determine if the simulated changes produce a positive, negative, or neutral change in flow performance. Systems and machine-readable media are also provided.

    Service function chain optimization using live testing

    公开(公告)号:US10673698B2

    公开(公告)日:2020-06-02

    申请号:US15656607

    申请日:2017-07-21

    Abstract: Aspects of the disclosed technology address the problems of manually identifying and optimizing service chain (SC) performance bottlenecks by providing solutions for automatically identifying and tuning various SC parameters. In some aspects, a SC optimization process of the disclosed technology includes the replication or cloning of a SC for which traffic flow is to be optimized. Traffic flows for the production chain can then be simulated over one or more SC clones to identify and tune individual system parameters, for example, to determine if the simulated changes produce a positive, negative, or neutral change in flow performance. Systems and machine-readable media are also provided.

    NETWORK TRAFFIC OPTIMIZATION USING IN-SITU NOTIFICATION SYSTEM

    公开(公告)号:US20200007388A1

    公开(公告)日:2020-01-02

    申请号:US16024100

    申请日:2018-06-29

    Abstract: Aspects of the disclosed technology address the problems of manually identifying and optimizing service function chaining (SFC) performance in response to changes in traffic profiles. In one aspect of the present disclosure, a method includes monitoring, by a first network component, incoming data packets; detecting, by the first network component, a change in a traffic profile of the incoming data packets; generating, by the first network component, in-band information on changes in the traffic profile; and transmitting, by the first network component, the in-band information with one or more data packets of the incoming data packets, the in-band information being used by a second network component to adjust one or more corresponding settings for servicing the incoming data packets.

    SERVICE FUNCTION CHAIN OPTIMIZATION USING LIVE TESTING

    公开(公告)号:US20190028347A1

    公开(公告)日:2019-01-24

    申请号:US15656607

    申请日:2017-07-21

    Abstract: Aspects of the disclosed technology address the problems of manually identifying and optimizing service chain (SC) performance bottlenecks by providing solutions for automatically identifying and tuning various SC parameters. In some aspects, a SC optimization process of the disclosed technology includes the replication or cloning of a SC for which traffic flow is to be optimized. Traffic flows for the production chain can then be simulated over one or more SC clones to identify and tune individual system parameters, for example, to determine if the simulated changes produce a positive, negative, or neutral change in flow performance. Systems and machine-readable media are also provided.

    Service function chain optimization using live testing

    公开(公告)号:US11115276B2

    公开(公告)日:2021-09-07

    申请号:US16883170

    申请日:2020-05-26

    Abstract: Aspects of the disclosed technology address the problems of manually identifying and optimizing service chain (SC) performance bottlenecks by providing solutions for automatically identifying and tuning various SC parameters. In some aspects, a SC optimization process of the disclosed technology includes the replication or cloning of a SC for which traffic flow is to be optimized. Traffic flows for the production chain can then be simulated over one or more SC clones to identify and tune individual system parameters, for example, to determine if the simulated changes produce a positive, negative, or neutral change in flow performance. Systems and machine-readable media are also provided.

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