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    DEPENDENT SYSTEM OPTIMIZATION FOR SERVERLESS FRAMEWORKS
    1.
    发明申请
    DEPENDENT SYSTEM OPTIMIZATION FOR SERVERLESS FRAMEWORKS 审中-公开

    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.

    Inventor： Rajat Garg ,  Vishal Gupta ,  Mageshwaran Rajendran ,  Sivaraj M ,  Amit Kumar

    IPC: G06F9/50 ,  G06F9/455 ,  G06F9/54

    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.

    Visualizing data center inventory and entity relationships
    2.
    发明授权
    Visualizing data center inventory and entity relationships 有权

    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.

    METHODS FOR MANAGING SELF-HEALING CLOUD INFRASTRUCTURE AND APPLICATIONS
    3.
    发明申请
    METHODS FOR MANAGING SELF-HEALING CLOUD INFRASTRUCTURE AND APPLICATIONS 审中-公开

    公开(公告)号：US20190014023A1

    公开(公告)日：2019-01-10

    申请号：US15644345

    申请日：2017-07-07

    Applicant: VMware, Inc.

    Inventor： Vishal Gupta ,  Raj Yavatkar ,  Khoi Tran ,  Saar Noam

    IPC: H04L12/26 ,  G06F11/30 ,  G06F11/34 ,  G06F9/455 ,  H04L29/08 ,  H04L12/24

    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for managing cloud applications. An example apparatus includes a monitor to determine current states of virtual machines, a cloud manager to communicate with a hybrid cloud infrastructure, a healer to: compare the current states of the virtual machines to target states to determine a value of the difference, and in response to determining that the difference indicates that there are not enough healthy virtual machines to meet the target states, instructing the cloud manager to add virtual machines based on the value of the difference.

    Autonomic management of multi-site cloud infrastructure
    4.
    发明授权
    Autonomic management of multi-site cloud infrastructure 有权

    公开(公告)号：US11150930B2

    公开(公告)日：2021-10-19

    申请号：US16022583

    申请日：2018-06-28

    Applicant: VMware, Inc.

    Inventor： Vishal Gupta ,  Nikhil Ayyagari ,  Thayumanavan Sridhar

    IPC: G06F9/455 ,  H04L29/08 ,  G06Q10/06

    Abstract: The disclosure provides an approach for managing an application workload on a computer system that includes data centers. The application workload includes first application instances running on a first data center and second application instances running on a second data center. The method comprises collecting usage data of first application instances, usage data of second application instances, and combining the collected data. The method further comprises evaluating the combined data to determine low health in least one application instance, and restarting the at least one application instance or creating a new application instance. The method further comprises evaluating the combined data to determine whether to change size of the application workload, and in which data center to place a second new application instance if increasing size. The method further comprises contacting a component of the chosen data center to place the second new application instance within a local host machine.

    VISUALIZING DATA CENTER INVENTORY AND ENTITY RELATIONSHIPS
    5.
    发明申请
    VISUALIZING DATA CENTER INVENTORY AND ENTITY RELATIONSHIPS 有权

    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.

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