公开(公告)号：US20200026565A1

公开(公告)日：2020-01-23

申请号：US16037298

申请日：2018-07-17

Applicant: VMware, Inc.

Inventor： Mageshwaran Rajendran ,  Sivaraj M. ,  Karthik Seshadri ,  Atul Jadhav ,  Nibunan G S

IPC: G06F9/50 ,  G06F9/455

Abstract: Various examples are disclosed for generating metrics for quantifying computing resource usage. A computing environment can identify a computing function that utilizes a plurality of computing services hosted in at least one virtual machine. The computing environment can determine a first cost metric for the at least one virtual machine based on hardware resources used by the at least one virtual machine and determine a second cost metric for individual ones of the computing services based on virtual machine resources used by the individual ones of the computing services and the first cost metric. A third cost metric can be determined for the computing function as a function of the second cost metric and a utilization ratio.

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.

Inventor： Yash Bhatnagar ,  Dileep Varma Kalidindi ,  Sivaraj M. ,  Venkata Naga Manohar Kondamudi ,  Amit Kumar

IPC: G06F9/455 ,  H04L29/08 ,  G06F9/50

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.