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    RULE-BASED DATA PROTECTION
    21.
    发明申请
    RULE-BASED DATA PROTECTION 审中-公开

    公开(公告)号：US20190332485A1

    公开(公告)日：2019-10-31

    申请号：US15842837

    申请日：2017-12-14

    Applicant: Nutanix, Inc.

    Inventor： Binny Sher GILL ,  Naveen KUMAR ,  Ranjan PARTHASARATHY

    IPC: G06F11/14 ,  G06F17/30

    Abstract: Systems for rule-based data protection of virtualized computing entities. A method embodiment commences upon receiving specification parameters that correspond to one or more data protection schemes or data protection configurations such as schemes for making backups or snapshots. Based on the specification parameters and the data protection configurations, one or more resource entities associated with the data protection configurations are identified. Each of the resource entities are accessed and one or more applicable data protection administration rules that correspond to the respective resource entities are applied. The resource entities might be organized hierarchically. Determination of which data protection administration rules are applicable to the resource entities is based on the type of resource entity being considered. The combination of the resource entity type and respective applicable rules is used to generate entity-specific data protection commands. The entity-specific commands to administer the data protection configurations over the resource entities are executed.

    COMPUTING CLUSTER BRING-UP ON PUBLIC CLOUD INFRASTRUCTURE USING EXPRESSED INTENTS
    23.
    发明申请
    COMPUTING CLUSTER BRING-UP ON PUBLIC CLOUD INFRASTRUCTURE USING EXPRESSED INTENTS 有权

    公开(公告)号：US20230036454A1

    公开(公告)日：2023-02-02

    申请号：US17815949

    申请日：2022-07-29

    Applicant: Nutanix, Inc.

    Inventor： Shlomo Shlomi VAKNIN ,  Binny Sher GILL

    IPC: G06F9/50 ,  G06F9/54

    Abstract: Methods, systems and computer program products for bringing-up a computing cluster on a public cloud infrastructure with techniques utilizing expressed intents (high level descriptions of desired configuration) and asynchronously receiving configuration status messages from the public cloud infrastructure. The method includes a cloud management computing system transmitting to the public cloud infrastructure a first expressed intent for bringing-up a computing cluster. The cloud management computing system asynchronously receiving periodic status messages comprising cluster status data from the public cloud infrastructure reflecting a current configuration state of the computing cluster. The system determines, based on the cluster status data, whether the first expressed intent for the computing cluster has been achieved.

    ARCHITECTURE FOR MANAGING I/O AND STORAGE FOR A VIRTUALIZATION ENVIRONMENT USING EXECUTABLE CONTAINERS AND VIRTUAL MACHINES
    24.
    发明申请
    ARCHITECTURE FOR MANAGING I/O AND STORAGE FOR A VIRTUALIZATION ENVIRONMENT USING EXECUTABLE CONTAINERS AND VIRTUAL MACHINES 有权

    公开(公告)号：US20230012930A1

    公开(公告)日：2023-01-19

    申请号：US17807708

    申请日：2022-06-17

    Applicant: Nutanix, Inc.

    Inventor： Binny Sher GILL ,  Karan GUPTA ,  Miao CUI

    IPC: H04L67/10 ,  H04L67/1097 ,  G06F9/455

    Abstract: Systems for high-performance computing. A storage control architecture is implemented by a plurality of nodes, where a node comprises combinations of executable containers that execute in cooperation with virtual machines running above a hypervisor. The containers run in a virtual machine above a hypervisor, and/or can be integrated directly into the operating system of a host node. Sensitive information such as credit card information may be isolated from the containers in a separate virtual machine that is configured to be threat resistant, and which can be accessed through a threat resistant interface module. One of the virtual machines of the node may be a node-specific control virtual machine that is configured to operate as a dedicated storage controller for a node. One of the virtual machines of the node may be a node-specific container service machine that is configured to provide storage-related and other support to a hosted executable container.

    ARCHITECTURE FOR MANAGING I/O AND STORAGE FOR A VIRTUALIZATION ENVIRONMENT USING EXECUTABLE CONTAINERS AND VIRTUAL MACHINES
    25.
    发明申请
    ARCHITECTURE FOR MANAGING I/O AND STORAGE FOR A VIRTUALIZATION ENVIRONMENT USING EXECUTABLE CONTAINERS AND VIRTUAL MACHINES 审中-公开

    公开(公告)号：US20200351333A1

    公开(公告)日：2020-11-05

    申请号：US16947098

    申请日：2020-07-17

    Applicant: Nutanix, Inc.

    Inventor： Binny Sher GILL ,  Karan GUPTA ,  Miao CUI

    IPC: H04L29/08 ,  G06F9/455

    Abstract: Systems for high-performance computing. A storage control architecture is implemented by a plurality of nodes, where a node comprises combinations of executable containers that execute in cooperation with virtual machines running above a hypervisor. The containers run in a virtual machine above a hypervisor, and/or can be integrated directly into the operating system of a host node. Sensitive information such as credit card information may be isolated from the containers in a separate virtual machine that is configured to be threat resistant, and which can be accessed through a threat resistant interface module. One of the virtual machines of the node may be a node-specific control virtual machine that is configured to operate as a dedicated storage controller for a node. One of the virtual machines of the node may be a node-specific container service machine that is configured to provide storage-related and other support to a hosted executable container.

    METHOD FOR FORECASTING DISTRIBUTED RESOURCE UTILIZATION IN A VIRTUALIZATION ENVIRONMENT
    26.
    发明申请
    METHOD FOR FORECASTING DISTRIBUTED RESOURCE UTILIZATION IN A VIRTUALIZATION ENVIRONMENT 审中-公开

    公开(公告)号：US20200027014A1

    公开(公告)日：2020-01-23

    申请号：US15394654

    申请日：2016-12-29

    Applicant: Nutanix, Inc.

    Inventor： Jianjun WEN ,  Abhinay NAGPAL ,  Himanshu SHUKLA ,  Binny Sher GILL ,  Cong LIU ,  Shuo YANG

    IPC: G06N7/00 ,  G06N5/02

    Abstract: A method for time series analysis of time-oriented usage data pertaining to computing resources of a computing system. A method embodiment commences upon collecting time series datasets, individual ones of the time series datasets comprising time-oriented usage data of a respective individual computing resource. A plurality of prediction models are trained using portions of time-oriented data. The trained models are evaluated to determine quantitative measures pertaining to predictive accuracy. One of the trained models is selected and then applied over another time series dataset of the individual resource to generate a plurality of individual resource usage predictions. The individual resource usage predictions are used to calculate seasonally-adjusted resource usage demand amounts over a future time period. The resource usage demand amounts are compared to availability of the resource to form a runway that refers to a future time period when the resource is predicted to be demanded to its capacity.

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