CONTAINERIZED WORKLOAD SCHEDULING
    1.
    发明申请

    公开(公告)号:US20200341789A1

    公开(公告)日:2020-10-29

    申请号:US16394663

    申请日:2019-04-25

    Applicant: VMware, Inc.

    Abstract: A method for containerized workload scheduling can include monitoring network traffic between a first containerized workload deployed on a node in a virtual computing environment to determine affinities between the first containerized workload and other containerized workloads in the virtual computing environment. The method can further include scheduling, based, at least in part, on the determined affinities between the first containerized workload and the other containerized workloads, execution of a second containerized workload on the node on which the first containerized workload is deployed.

    TRAFFIC FOOTPRINT CHARACTERIZATION
    2.
    发明申请

    公开(公告)号:US20200267071A1

    公开(公告)日:2020-08-20

    申请号:US16277576

    申请日:2019-02-15

    Applicant: VMware, Inc.

    Inventor: Aditi Ghag

    Abstract: A method for traffic footprint characterization can include monitoring containerized workloads originating from a virtual computing instance (VCI) and/or container. The method can further include determining that a containerized workload originating from the VCI consumes greater than a threshold amount of bandwidth and tagging the VCI in response to determining that the containerized workload consumes greater than the threshold amount of bandwidth.

    Containerized workload scheduling

    公开(公告)号:US11579908B2

    公开(公告)日:2023-02-14

    申请号:US16223235

    申请日:2018-12-18

    Applicant: VMware, Inc.

    Abstract: A method for containerized workload scheduling can include determining a network state for a first hypervisor in a virtual computing cluster (VCC). The method can further include determining a network state for a second hypervisor. Containerized workload scheduling can further include deploying a container to run a containerized workload on a virtual computing instance (VCI) deployed on the first hypervisor or the second hypervisor based, at least in part, on the determined network state for the first hypervisor and the second hypervisor.

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