Token-based adaptive task management for virtual machines
    1.
    发明授权
    Token-based adaptive task management for virtual machines 有权
    用于虚拟机的基于令牌的自适应任务管理

    公开(公告)号:US09411658B2

    公开(公告)日:2016-08-09

    申请号:US13772556

    申请日:2013-02-21

    Applicant: VMware, Inc.

    CPC classification number: G06F9/5083 G06F9/5077

    Abstract: Embodiments perform adaptive throttling of tasks into a virtual datacenter having dynamically changing resources. Tasks are processed concurrently in batches. The rate of change in throughput at different batch sizes is calculated. With each iteration, the batch size is increased or decreased based on the rate of change to achieve a maximum throughput for given resources and load on the virtual datacenter.

    Abstract translation: 实施例将任务自适应地调节成具有动态变化的资源的虚拟数据中心。 批处理同时处理任务。 计算不同批量大小的吞吐量变化率。 通过每次迭代,基于变化率来增加或减少批量大小,以实现给定资源和虚拟数据中心上的负载的最大吞吐量。

    Token-Based Adaptive Task Management for Virtual Machines
    2.
    发明申请
    Token-Based Adaptive Task Management for Virtual Machines 有权
    基于令牌的虚拟机自适应任务管理

    公开(公告)号:US20140237468A1

    公开(公告)日:2014-08-21

    申请号:US13772556

    申请日:2013-02-21

    Applicant: VMWARE, INC.

    CPC classification number: G06F9/5083 G06F9/5077

    Abstract: Embodiments perform adaptive throttling of tasks into a virtual datacenter having dynamically changing resources. Tasks are processed concurrently in batches. The rate of change in throughput at different batch sizes is calculated. With each iteration, the batch size is increased or decreased based on the rate of change to achieve a maximum throughput for given resources and load on the virtual datacenter.

    Abstract translation: 实施例将任务自适应地调节成具有动态变化的资源的虚拟数据中心。 批处理同时处理任务。 计算不同批量大小的吞吐量变化率。 通过每次迭代,基于变化率来增加或减少批量大小,以实现给定资源和虚拟数据中心上的负载的最大吞吐量。

    System and method for managing a virtualized computing environment

    公开(公告)号:US10261842B2

    公开(公告)日:2019-04-16

    申请号:US15289592

    申请日:2016-10-10

    Applicant: VMware, Inc.

    Abstract: A technique for managing distributed computing resources in a virtual computing environment is disclosed. In an embodiment, a method includes receiving a recommended change to a virtual architecture of a virtual computing environment; determining an impact on current workload in the virtual computing environment if the recommended change is performed; determining an impact on future workload in the virtual computing environment if the recommended change is performed; calculating a combined impact on current and future workload; determining if the combined impact is above or below a threshold; if the combined impact on current and future workload is below the threshold, do not perform the recommended change; and if the combined impact on current and future workload is above the threshold, perform the recommended change.

    SYSTEM AND METHOD FOR MANAGING A VIRTUALIZED COMPUTING ENVIRONMENT
    4.
    发明申请
    SYSTEM AND METHOD FOR MANAGING A VIRTUALIZED COMPUTING ENVIRONMENT 审中-公开
    用于管理虚拟化计算环境的系统和方法

    公开(公告)号:US20170024262A1

    公开(公告)日:2017-01-26

    申请号:US15289592

    申请日:2016-10-10

    Applicant: VMware, Inc.

    Abstract: A technique for managing distributed computing resources in a virtual computing environment is disclosed. In an embodiment, a method includes receiving a recommended change to a virtual architecture of a virtual computing environment; determining an impact on current workload in the virtual computing environment if the recommended change is performed; determining an impact on future workload in the virtual computing environment if the recommended change is performed; calculating a combined impact on current and future workload; determining if the combined impact is above or below a threshold; if the combined impact on current and future workload is below the threshold, do not perform the recommended change; and if the combined impact on current and future workload is above the threshold, perform the recommended change.

    Abstract translation: 公开了一种在虚拟计算环境中管理分布式计算资源的技术。 在一个实施例中,一种方法包括接收对虚拟计算环境的虚拟架构的推荐改变; 如果执行推荐的更改,确定对虚拟计算环境中当前工作负载的影响; 如果执行推荐的更改,确定对虚拟计算环境中未来工作负载的影响; 计算对当前和未来工作量的综合影响; 确定组合影响是否高于或低于阈值; 如果对当前和未来工作负荷的综合影响低于阈值,请勿执行建议的更改; 并且如果对当前和未来工作负载的综合影响超过阈值,请执行推荐的更改。

Patent Agency Ranking