Enhanced management of storage repository availability in a virtual environment

    公开(公告)号:US11294701B2

    公开(公告)日:2022-04-05

    申请号:US16245776

    申请日:2019-01-11

    Abstract: Described herein are systems, methods, and software to enhance the management of virtual nodes in a computing environment. In one example, a system is configured to mount storage repositories to a host. Once mounted the system may identify a request to initiate a virtual cluster on the host and may identify permissions associated with the virtual cluster. The system further determines at least one storage repository from the storage repositories for the virtual cluster based on the permissions and initiate execution of the virtual cluster with access to at least one file system corresponding to the at least one storage repository.

    AUTOSCALING NODES OF A STATEFUL APPLICATION BASED ON ROLE-BASED AUTOSCALING POLICIES

    公开(公告)号:US20230342220A1

    公开(公告)日:2023-10-26

    申请号:US18342998

    申请日:2023-06-28

    CPC classification number: G06F9/5077 G06F2209/505

    Abstract: Example implementations relate to a role-based autoscaling approach for scaling of nodes of a stateful application in a large scale virtual data processing (LSVDP) environment. Information is received regarding a role performed by the nodes of a virtual cluster of an LSVDP environment on which a stateful application is or will be deployed. Role-based autoscaling policies are maintained defining conditions under which the roles are to be scaled. A policy for a first role upon which a second role is dependent specifies a condition for scaling out the first role by a first step and a second step by which the second role is to be scaled out in tandem. When load information for the first role meets the condition, nodes in the virtual cluster that perform the first role are increased by the first step and nodes that perform the second role are increased by the second step.

    Autoscaling nodes of a stateful application based on role-based autoscaling policies

    公开(公告)号:US11698820B2

    公开(公告)日:2023-07-11

    申请号:US16800024

    申请日:2020-02-25

    CPC classification number: G06F9/5077 G06F2209/505

    Abstract: Example implementations relate to a role-based autoscaling approach for scaling of nodes of a stateful application in a large scale virtual data processing (LSVDP) environment. Information is received regarding a role performed by the nodes of a virtual cluster of an LSVDP environment on which a stateful application is or will be deployed. Role-based autoscaling policies are maintained defining conditions under which the roles are to be scaled. A policy for a first role upon which a second role is dependent specifies a condition for scaling out the first role by a first step and a second step by which the second role is to be scaled out in tandem. When load information for the first role meets the condition, nodes in the virtual cluster that perform the first role are increased by the first step and nodes that perform the second role are increased by the second step.

    Management of domain name systems in a large-scale processing environment

    公开(公告)号:US10666609B2

    公开(公告)日:2020-05-26

    申请号:US16186841

    申请日:2018-11-12

    Abstract: Systems, methods, and software described herein facilitate the management of virtual clusters in a large-scale processing environment. In one implementation, a method of operating a control node includes receiving a request to configure a virtual cluster with one or more data processing nodes, and identifying a tenant associated with the request. The method further provides identifying a namespace for the tenant, and identifying internet protocol (IP) addresses for the one or more data processing nodes. The method also includes generating namespace to IP address pairs for the one or more data processing nodes based on the namespace and the IP addresses, and configuring a domain name system (DNS) for the virtual cluster with the namespace to IP address pairs.

    AUTOSCALING NODES OF A STATEFUL APPLICATION BASED ON ROLE-BASED AUTOSCALING POLICIES

    公开(公告)号:US20210263780A1

    公开(公告)日:2021-08-26

    申请号:US16800024

    申请日:2020-02-25

    Abstract: Example implementations relate to a role-based autoscaling approach for scaling of nodes of a stateful application in a large scale virtual data processing (LSVDP) environment. Information is received regarding a role performed by the nodes of a virtual cluster of an LSVDP environment on which a stateful application is or will be deployed. Role-based autoscaling policies are maintained defining conditions under which the roles are to be scaled. A policy for a first role upon which a second role is dependent specifies a condition for scaling out the first role by a first step and a second step by which the second role is to be scaled out in tandem. When load information for the first role meets the condition, nodes in the virtual cluster that perform the first role are increased by the first step and nodes that perform the second role are increased by the second step.

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