Methods and apparatus to generate migration recommendations to migrate services between geographic regions

    公开(公告)号:US11349935B2

    公开(公告)日:2022-05-31

    申请号:US16689098

    申请日:2019-11-20

    Applicant: VMware, Inc.

    Abstract: A disclosed example to determine a migration recommendation of a service between geographic regions includes: a graph generator to generate an interaction graph, the interaction graph including first and second nodes and an edge therebetween, the first node representative of a first service in a first geographic region, the second node representative of a second service in a second geographic region, and the edge representative of a network path of interactions between the first and second services; a weighing engine to determine a weight value of the edge between the first and second services based on a count of network interactions between the first and second services and a real-time latency between the first and second services; and a recommendation engine to generate a migration recommendation to migrate the first service to the second geographic region based on the weight value of the edge.

    SYSTEMS AND METHODS FOR RECOMMENDING OPTIMIZED VIRTUAL-MACHINE CONFIGURATIONS

    公开(公告)号:US20220100552A1

    公开(公告)日:2022-03-31

    申请号:US17545173

    申请日:2021-12-08

    Applicant: VMware, Inc.

    Abstract: An example method is provided for recommending VM configurations, including one or more servers upon which one or more VMs can run. A user wishing to run these VMs can request a recommendation for an appropriate server or set of servers. The user can indicate a category corresponding to the type of workload that pertains to the VMs. The system can receive the request and identify a pool of servers available to the user. Using industry specifications and benchmarks, the system can classify the available servers into multiple categories. Within those categories, similar servers can be clustered and then ranked based on their levels of optimization. The sorted results can be displayed to the user, who can select a particular server (or group of servers) and customize the deployment as needed. This process allows a user to identify and select an optimized setup quickly and accurately.

    DEPENDENT SYSTEM OPTIMIZATION FOR SERVERLESS FRAMEWORKS

    公开(公告)号:US20200241930A1

    公开(公告)日:2020-07-30

    申请号:US16392652

    申请日:2019-04-24

    Applicant: VMWARE, INC.

    Abstract: Various aspects are disclosed for optimization of dependent systems for serverless frameworks. In some examples, a load test executes instances of a function on a dependent system to generate datapoints. The datapoints are organized, using a clustering algorithm, into an acceptable group and at least one unacceptable group. A maximum number of concurrent instances of the function is determined based on a number of instances specified by at least one datapoint selected from the acceptable group. A live workload is performed on the dependent system. The live workload includes instances of the function that are assigned to the dependent system according to the maximum number of concurrent instances.

    Systems and methods for recommending optimized virtual-machine configurations

    公开(公告)号:US11216295B2

    公开(公告)日:2022-01-04

    申请号:US16368901

    申请日:2019-03-29

    Applicant: VMWARE, INC.

    Abstract: An example method is provided for recommending VM configurations, including one or more servers upon which one or more VMs can run. A user wishing to run these VMs can request a recommendation for an appropriate server or set of servers. The user can indicate a category corresponding to the type of workload that pertains to the VMs. The system can receive the request and identify a pool of servers available to the user. Using industry specifications and benchmarks, the system can classify the available servers into multiple categories. Within those categories, similar servers can be clustered and then ranked based on their levels of optimization. The sorted results can be displayed to the user, who can select a particular server (or group of servers) and customize the deployment as needed. This process allows a user to identify and select an optimized setup quickly and accurately.

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