SERVICE MANAGEMENT IN DISTRIBUTED SYSTEM

    公开(公告)号:US20220385696A1

    公开(公告)日:2022-12-01

    申请号:US17333879

    申请日:2021-05-28

    Abstract: A trust rule between a first service and a second service in a plurality of services deployed in a distributed system is received; the trust rule defines whether the first service is allowed to access the second service. A trust tree is obtained for the distributed system, and the trust tree comprises a plurality of certificates for accessing the plurality of services. A first group of certificates is selected for the first service based on the trust rule and the trust tree, and the first group of certificates enables the first service to access the second service.

    Service management in distributed system

    公开(公告)号:US11968233B2

    公开(公告)日:2024-04-23

    申请号:US17333879

    申请日:2021-05-28

    CPC classification number: H04L63/20 H04L9/3263 H04L63/10

    Abstract: A trust rule between a first service and a second service in a plurality of services deployed in a distributed system is received; the trust rule defines whether the first service is allowed to access the second service. A trust tree is obtained for the distributed system, and the trust tree comprises a plurality of certificates for accessing the plurality of services. A first group of certificates is selected for the first service based on the trust rule and the trust tree, and the first group of certificates enables the first service to access the second service.

    Dynamically scaling out pods using a recursive way

    公开(公告)号:US11409568B2

    公开(公告)日:2022-08-09

    申请号:US17063086

    申请日:2020-10-05

    Abstract: In an approach for pod scheduling and recursion, a processor schedules a master pod and one or more worker pods for applications to be deployed on a cluster. A processor builds a topology between the master pod and the one or more worker pods. A processor monitors a workload in the one or more worker pods. A processor determines whether any of the one or more worker pods needs to scale out. In response to determining that one of the one or more worker pods needs to scale out, a processor schedules a next layer of the one or more worker pods according to the workload.

    DYNAMICALLY SCALING OUT PODS USING A RECURSIVE WAY

    公开(公告)号:US20220107842A1

    公开(公告)日:2022-04-07

    申请号:US17063086

    申请日:2020-10-05

    Abstract: In an approach for pod scheduling and recursion, a processor schedules a master pod and one or more worker pods for applications to be deployed on a cluster. A processor builds a topology between the master pod and the one or more worker pods. A processor monitors a workload in the one or more worker pods. A processor determines whether any of the one or more worker pods needs to scale out. In response to determining that one of the one or more worker pods needs to scale out, a processor schedules a next layer of the one or more worker pods according to the workload.

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