公开(公告)号：US11409809B2

公开(公告)日：2022-08-09

申请号：US17122893

申请日：2020-12-15

Applicant: VMware, Inc.

Inventor： Chandrashekhar Jha ,  Kumar Gaurav ,  Sushil Verma ,  Vishal Gupta ,  Aditya Gopisetti

IPC: G06F16/904 ,  G06F16/28 ,  G06F16/901

Abstract: A system can provide a visual representation of an inventory of data entities for a distributed computing system. Inventory data including cost and operational data for data entities such as data centers, servers, and virtual machines, can be converted into a format file. The format file can be used to create a tree of nodes and node summaries corresponding to the data entities. A user interface can display hierarchical and isolated views of the tree revealing parent child relationships between data entities within a computing system infrastructure. Node summaries including cost and utilization data can be displayed to reveal how specific sub-costs such as labor and licensing, are driven by data entities in one level of the infrastructure and pushed to respective parent or child data entities in other levels. Views of the tree can be used to determine areas of inefficiency or reduced value within the computing system.

公开(公告)号：US20190317873A1

公开(公告)日：2019-10-17

申请号：US15952824

申请日：2018-04-13

Applicant: VMware, Inc.

Inventor： Aditya Gopisetti ,  Chandrashekhar Jha ,  Jobin Raju George ,  Kumar Gaurav ,  Jusvinder Singh

IPC: G06F11/34 ,  G06F9/455 ,  G06F11/30

Abstract: The detection of idle virtual machines through usage pattern analysis is described. In one example, a computing device can collect utilization metrics from a virtual machine over time. The utilization metrics can be related to one or more processing usage, disk usage, network usage, and memory usage metrics, among others. The utilization metrics can be separated into a set of training metrics and a set of validation metrics, and a number of clusters can be determined based on the set of training metrics. The clusters can be used to organize the set of validation metrics into groups. Depending upon the number or overall percentage of the utilization metrics assigned to individual ones of the plurality of clusters, it is possible to determine whether or not the virtual machine is an idle virtual machine. Once identified, idle virtual machines can be shut down to conserve processing resources and costs.

公开(公告)号：US11188439B2

公开(公告)日：2021-11-30

申请号：US15952824

申请日：2018-04-13

Applicant: VMware, Inc.

Inventor： Aditya Gopisetti ,  Chandrashekhar Jha ,  Jobin Raju George ,  Kumar Gaurav ,  Jusvinder Singh

IPC: G06F9/455 ,  G06F11/34 ,  G06F11/30

Abstract: The detection of idle virtual machines through usage pattern analysis is described. In one example, a computing device can collect utilization metrics from a virtual machine over time. The utilization metrics can be related to one or more processing usage, disk usage, network usage, and memory usage metrics, among others. The utilization metrics can be separated into a set of training metrics and a set of validation metrics, and a number of clusters can be determined based on the set of training metrics. The clusters can be used to organize the set of validation metrics into groups. Depending upon the number or overall percentage of the utilization metrics assigned to individual ones of the plurality of clusters, it is possible to determine whether or not the virtual machine is an idle virtual machine. Once identified, idle virtual machines can be shut down to conserve processing resources and costs.

公开(公告)号：US20210103617A1

公开(公告)日：2021-04-08

申请号：US17122893

申请日：2020-12-15

Applicant: VMware, Inc.

Inventor： Chandrashekhar Jha ,  Kumar Gaurav ,  Sushil Verma ,  Vishal Gupta ,  Aditya Gopisetti

IPC: G06F16/904 ,  G06F16/28 ,  G06F16/901

Abstract: A system can provide a visual representation of an inventory of data entities for a distributed computing system. Inventory data including cost and operational data for data entities such as data centers, servers, and virtual machines, can be converted into a format file. The format file can be used to create a tree of nodes and node summaries corresponding to the data entities. A user interface can display hierarchical and isolated views of the tree revealing parent child relationships between data entities within a computing system infrastructure. Node summaries including cost and utilization data can be displayed to reveal how specific sub-costs such as labor and licensing, are driven by data entities in one level of the infrastructure and pushed to respective parent or child data entities in other levels. Views of the tree can be used to determine areas of inefficiency or reduced value within the computing system.