Method and apparatus for performing event-driven diagnostics or prognostics of a network behaviour of a hierarchical optical network

    公开(公告)号:US20190245620A1

    公开(公告)日:2019-08-08

    申请号:US16267011

    申请日:2019-02-04

    CPC classification number: H04B10/27 G06N20/00 H04B10/07 H04J2203/0058

    Abstract: A method and apparatus for performing event-driven diagnostics and/or prognostics of a network behaviour of a hierarchical optical network comprising the steps of recording at least one set of historical multi-level events representing different hierarchy levels of said optical network; mining of machine learned event patterns within the recorded multi-level events; mapping the determined mined event patterns to a multi-level network topology of said optical network and/or to a channel connectivity of channels through said optical network; and matching observed real-time multi-level target events of said optical network with at least one of the previously determined mined event patterns and performing a unified cause and effect analysis of network states and/or network components of said optical network for a recognized matching event pattern using the network topology and/or channel connectivity associated with the matching event pattern.

    METHOD AND APPARATUS FOR OPTIMIZING DYNAMICALLY THE OPERATION OF AN OPTICAL NETWORK

    公开(公告)号:US20190261071A1

    公开(公告)日:2019-08-22

    申请号:US16278607

    申请日:2019-02-18

    Abstract: An apparatus and method for optimizing dynamically the performance of an optical network, said apparatus comprising at least one learning engine adapted to update a learning model in response to network metrics of said optical network collected during operation of said optical network, wherein the updated learning model is used to generate channel rank information for network channels; and a recommendation engine adapted to change a network channel throughput, a signal path and/or a spectral location of at least one network channel based on the channel rank information generated by the learning model of said learning engine.

    Method and apparatus for performing event-driven diagnostics or prognostics of a network behaviour of a hierarchical optical network

    公开(公告)号:US10735099B2

    公开(公告)日:2020-08-04

    申请号:US16267011

    申请日:2019-02-04

    Abstract: A method and apparatus for performing event-driven diagnostics and/or prognostics of a network behaviour of a hierarchical optical network comprising the steps of recording at least one set of historical multi-level events representing different hierarchy levels of said optical network; mining of machine learned event patterns within the recorded multi-level events; mapping the determined mined event patterns to a multi-level network topology of said optical network and/or to a channel connectivity of channels through said optical network; and matching observed real-time multi-level target events of said optical network with at least one of the previously determined mined event patterns and performing a unified cause and effect analysis of network states and/or network components of said optical network for a recognized matching event pattern using the network topology and/or channel connectivity associated with the matching event pattern.

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