Visualizing data center inventory and entity relationships

    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.

    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.

    Methods and systems to optimize server utilization for a virtual data center

    公开(公告)号:US11182718B2

    公开(公告)日:2021-11-23

    申请号:US16837875

    申请日:2020-04-01

    Applicant: VMWARE, INC.

    Abstract: Methods and systems assist data center customer to plan virtual data center (“VDC”) configurations, create purchase recommendations to achieve either an expansion or contraction of a VDC, and optimize the data center cost. Methods generate recommendations on lower cost combinations of virtual machine (“VM”) guest OS licenses, server computer hardware and VM software to optimize the costs are generated, generate data center customer plans for additional VMs with guest OS for a projected period of time, provide recommendations on lower cost combination of guest OS licenses, server hardware, and VM software to optimize the cost. Methods also report any underutilized licensed servers and provide recommendations for cost savings when volume licenses can be replaced by instance based software licenses. Methods may generate VM placement recommendations to data center customers while the customers attempt to manually migrate VMs to different server computers.

    METHODS AND SYSTEMS TO OPTIMIZE OPERATING SYSTEM LICENSE COSTS IN A VIRTUAL DATA CENTER

    公开(公告)号:US20200234211A1

    公开(公告)日:2020-07-23

    申请号:US16837875

    申请日:2020-04-01

    Applicant: VMWARE, INC.

    Abstract: Methods and systems assist data center customer to plan virtual data center (“VDC”) configurations, create purchase recommendations to achieve either an expansion or contraction of a VDC, and optimize the data center cost. Methods generate recommendations on lower cost combinations of virtual machine (“VM”) guest OS licenses, server computer hardware and VM software to optimize the costs are generated, generate data center customer plans for additional VMs with guest OS for a projected period of time, provide recommendations on lower cost combination of guest OS licenses, server hardware, and VM software to optimize the cost. Methods also report any underutilized licensed servers and provide recommendations for cost savings when volume licenses can be replaced by instance based software licenses. Methods may generate VM placement recommendations to data center customers while the customers attempt to manually migrate VMs to different server computers.

    METHODS AND SYSTEMS TO OPTIMIZE SERVER UTILIZATION FOR A VIRTUAL DATA CENTER

    公开(公告)号:US20200226521A1

    公开(公告)日:2020-07-16

    申请号:US16837869

    申请日:2020-04-01

    Applicant: VMWARE, INC.

    Abstract: Methods and systems assist data center customer to plan virtual data center (“VDC”) configurations, create purchase recommendations to achieve either an expansion or contraction of a VDC, and optimize the data center cost. Methods generate recommendations on lower cost combinations of virtual machine (“VM”) guest OS licenses, server computer hardware and VM software to optimize the costs are generated, generate data center customer plans for additional VMs with Quest OS for a projected period of time, provide recommendations on lower cost combination of guest OS licenses, server hardware, and VM software to optimize the cost. Methods also report any underutilized licensed servers and provide recommendations for cost savings when volume licenses can be replaced by instance based software licenses. Methods may generate VM placement recommendations to data center customers while the customers attempt to manually migrate VMs to different server computers.

    System and method for deploying an application in a computer system

    公开(公告)号:US10205771B2

    公开(公告)日:2019-02-12

    申请号:US14842841

    申请日:2015-09-02

    Applicant: VMWARE, INC.

    Abstract: System and method for deploying an application in a computer system automatically extend an application topology of virtual computing resources of the computer system and application components of the application to be executed on the virtual computing resources to include an affinity-type rule for the virtual computing resources of the computer system based on at least one predefined policy of the application topology and deploy the application in the computer system by provisioning the virtual computing resources to the physical devices in the computer system based on the extended application topology.

    Computing a unit rate of power consumed in a data center

    公开(公告)号:US09632553B2

    公开(公告)日:2017-04-25

    申请号:US14707051

    申请日:2015-05-08

    Applicant: VMWARE, INC.

    CPC classification number: G06F1/28 G06Q40/12

    Abstract: A power distribution unit having a power supply inputs including mains, secondary, generator, and renewable can be configured to measure how much power is drawn from each of the power supply inputs over a time period and to provide data to a unit rate of power engine indicating the same. A cost information engine can be configured to provide cost information, applicable over the time period, for each of the power supply inputs to the unit rate of power engine. The unit rate of power engine can be configured to compute the unit rate of power consumed in the data center over the time period based on the power drawn from each of the power supply inputs and the cost information.

    Clustering routines for extrapolating computing resource metrics

    公开(公告)号:US11113117B2

    公开(公告)日:2021-09-07

    申请号:US16000052

    申请日:2018-06-05

    Applicant: VMware, Inc.

    Abstract: Various examples are disclosed for using clustering routines to extrapolate metrics to other computing resources in a cluster. One or more computing devices can classify computing resources, such as servers, based on various characteristics of the computing resources. For each class of computing resource, a clustering routine can be applied to generate clusters of the computing resources. A minimal number of metrics required to be obtained from an end user can be determined as a function of a number of the clusters. If one or more of the metrics are obtained from the end user, the metrics can be extrapolated to other computing resources in the same cluster.

    Minimizing guest operating system licensing costs in a processor based licensing model in a virtual datacenter

    公开(公告)号:US10162656B2

    公开(公告)日:2018-12-25

    申请号:US14609435

    申请日:2015-01-30

    Applicant: VMWARE, INC.

    Abstract: Techniques for optimizing guest operating system (OS) utilization cost in a processor based licensing model in a virtual datacenter are described. In one example embodiment, a virtual machine (VM) that has or is scheduled to have an instance of an operating system (OS) that requires a license is identified. Availability of a physical processor of a first host computing system that is licensed to execute the OS based on the computing resource requirements of the VM, the physical processor based license, author assigned affinity to physical processors in the first host computing system is determined. The VM is then migrated/placed to/on the physical processor of the first host computing system or migrated/placed to/on a physical processor of a second host computing system based on the outcome of the determination.

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