Methods and apparatus to select virtualization environments for migration

    公开(公告)号:US09710304B2

    公开(公告)日:2017-07-18

    申请号:US14707016

    申请日:2015-05-08

    Applicant: VMWARE, INC.

    Abstract: Methods and apparatus to select virtualization environments are disclosed. An example method includes determining, via a processor, characteristics of a virtualized application that is deployed in an existing virtualization environment. analyzing, via the processor, the characteristics of the virtualized application to select a subset of virtualization environments that are capable of executing the virtualized application, the subset of virtualization environments selected from a set of virtualization environments of different virtualization environment types used in the datacenter, comparing, via the processor, the characteristics of the virtualized application to the virtualization environments of the subset of virtualization environments to determine scores for the virtualization environments, and migrate the virtualized application from the existing virtualization environment to a new virtualization environment based on the scores.

    Methods and apparatus to select virtualization environments during deployment

    公开(公告)号:US10678581B2

    公开(公告)日:2020-06-09

    申请号:US15708102

    申请日:2017-09-18

    Applicant: VMware Inc.

    Abstract: Methods and apparatus to select virtualization environments are disclosed. An example apparatus includes a logic circuit, a workload analyzer to determine characteristics of a virtualized application, a score generator to compare the characteristics of the virtualized application to a plurality of virtualization environment types to determine scores for each of the plurality of virtualization environment types, the scores based on rules that identify different scores for combinations of characteristics and virtualization environment types, and a workload deployer to deploy the virtualized application using one of the plurality of virtualization environment types based on the scores.

    Information technology cost calculation in a software defined data center

    公开(公告)号:US10579945B2

    公开(公告)日:2020-03-03

    申请号:US14644232

    申请日:2015-03-11

    Applicant: VMWARE, INC.

    Abstract: The present disclosure is related to methods, systems, and machine-readable media for information technology (IT) cost calculation in a software defined data center. A cost of infrastructure IT objects in a software defined data center can be calculated. The infrastructure IT objects can be mapped to an IT service construct over time, during runtime of the infrastructure IT objects. A portion of the cost of the infrastructure IT objects can be allocated to the IT service construct according to the map. A non-infrastructure IT cost can be allocated to the IT service construct. A total cost of the IT service construct can be calculated based on the allocations.

    USAGE PATTERN VIRTUAL MACHINE IDLE DETECTION
    17.
    发明申请

    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.

    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.

    METHODS AND SYSTEMS TO DETECT AND CORRECT OUTLIERS IN A DATASET STORED IN A DATA-STORAGE DEVICE

    公开(公告)号:US20190034473A1

    公开(公告)日:2019-01-31

    申请号:US15811710

    申请日:2017-11-14

    Applicant: VMWARE, INC.

    Abstract: Methods and systems are directed to detection and correction of outliers in a dataset stored in a data-storage device. The dataset comprises parameter data that may be stored and organized in the form of a data table with rows and columns of parameter values. Each column of the parameter data is searched for outlier parameter values based on the parameters values in the same column. The parameter data as a whole may be searched for outlier rows of parameter values based on first and second largest variations in the parameter data. Substitute parameter values are determined for the outlier parameter values based on non-outlier parameter values of the parameter data. The substitute parameter values and corresponding outlier parameter values may be displayed in a database management user interface that enables a user to selectively accept or reject each of the substitute parameter values for the corresponding outlier parameter values.

    Virtual resource scheduling for containers with migration

    公开(公告)号:US09766945B2

    公开(公告)日:2017-09-19

    申请号:US14835758

    申请日:2015-08-26

    Applicant: VMWARE, INC.

    CPC classification number: G06F9/5077 G06F9/45558 G06F9/4856 G06F2009/4557

    Abstract: A method for scheduling computing resources with container migration includes determining a resource availability for one or more hosts, a resource allocation for one or more virtual machines (VMs), and a resource usage for one or more containers. The method includes identifying the hosts on which VMs and containers can be consolidated based on resource availability. The method also includes calculating a target resource configuration for one or more VMs. The method further includes removing or adding resources to the VMs for which a target resource configuration was calculated to achieve the target resource configuration. The method further includes allocating the one or more VMs on the one or more hosts based on the resource availability of the one or more hosts, and allocating the one or more containers on the one or more VMs based on the resource configuration of each VM and the resource usage of each container.

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