Approach based on self-evolving models for performance guarantees in a shared storage system
    13.
    发明授权
    Approach based on self-evolving models for performance guarantees in a shared storage system 失效
    在共享存储系统中基于自演进模型进行性能保证的方法

    公开(公告)号:US07640231B2

    公开(公告)日:2009-12-29

    申请号:US11280012

    申请日:2005-11-16

    IPC分类号: G06F7/00

    摘要: A technique of allocating shared resources in a computer network-based storage system comprises taking periodic performance samples on a running storage system; evaluating an objective function that takes as input the performance samples to quantify how aligned a current state of the storage system is with organizational objectives; building and maintaining models of behavior and capabilities of the storage system by using the performance samples as input; determining how resources of the storage system should be allocated among client computers in the storage system by selecting one among many possible allocations based on predictions generated by the models in order to maximize a value of the objective function; calculating a confidence statistic value for a chosen resource allocation based on an accuracy of the models; and enforcing the chosen resource allocation on the running storage system when the confidence statistic value is at or above a predetermined threshold value.

    摘要翻译: 在基于计算机网络的存储系统中分配共享资源的技术包括在正在运行的存储系统上采取周期性的性能样本; 评估一个目标函数,作为输入性能样本,以量化存储系统的当前状态与组织目标的一致性; 通过使用性能样本作为输入,建立和维护存储系统的行为和功能模型; 通过基于由模型生成的预测来选择许多可能的分配中的一个,以便最大化目标函数的值来确定应该在存储系统中的客户端计算机之间分配存储系统的资源; 基于模型的精度计算所选资源分配的置信度统计值; 以及当所述置信度统计值处于或高于预定阈值时,在所述运行存储系统上执行所选择的资源分配。

    Risk-modulated proactive data migration for maximizing utility in storage systems
    14.
    发明授权
    Risk-modulated proactive data migration for maximizing utility in storage systems 失效
    风险调控的主动数据迁移,以最大限度地提高存储系统的效用

    公开(公告)号:US07552152B2

    公开(公告)日:2009-06-23

    申请号:US11681971

    申请日:2007-03-05

    IPC分类号: G06F12/00

    摘要: The embodiments of the invention provide a method, computer program product, etc. for risk-modulated proactive data migration for maximizing utility. More specifically, a method of planning data migration for maximizing utility of a storage infrastructure that is running and actively serving at least one application includes selecting a plurality of potential data items for migration and selecting a plurality of potential migration destinations to which the potential data items can be moved. Moreover, the method selects a plurality of potential migration speeds at which the potential data items can be moved and selects a plurality of potential migration times at which the potential data items can be moved to the potential data migration destinations. The selecting of the plurality of potential migration speeds selects a migration speed below a threshold speed, wherein the threshold speed defines a maximum system utility loss permitted.

    摘要翻译: 本发明的实施例提供了一种用于风险调节的主动数据迁移的方法,计算机程序产品等,以最大化效用。 更具体地说,一种规划数据迁移以最大化正在运行并主动地为至少一个应用服务的存储基础设施的效用的方法包括:选择多个潜在数据项以进行迁移并选择多个潜在迁移目的地,潜在数据项 可以移动 此外,该方法选择可移动潜在数据项的多个潜在迁移速度,并选择潜在数据项能够移动到潜在数据迁移目的地的多个潜在迁移时间。 选择多个潜在迁移速度选择低于阈值速度的迁移速度,其中阈值速度定义允许的最大系统效用损失。

    RISK-MODULATED PROACTIVE DATA MIGRATION FOR MAXIMIZING UTILITY IN STORAGE SYSTEMS
    15.
    发明申请
    RISK-MODULATED PROACTIVE DATA MIGRATION FOR MAXIMIZING UTILITY IN STORAGE SYSTEMS 有权
    用于最大化存储系统中的实用程序的风险调整的主动数据迁移

    公开(公告)号:US20080222644A1

    公开(公告)日:2008-09-11

    申请号:US12061764

    申请日:2008-04-03

    IPC分类号: G06F9/50 G06F12/00

    摘要: The embodiments of the invention provide a method, computer program product, etc. for risk-modulated proactive data migration for maximizing utility. More specifically, a method of planning data migration for maximizing utility of a storage infrastructure that is running and actively serving at least one application includes selecting a plurality of potential data items for migration and selecting a plurality of potential migration destinations to which the potential data items can be moved. Moreover, the method selects a plurality of potential migration speeds at which the potential data items can be moved and selects a plurality of potential migration times at which the potential data items can be moved to the potential data migration destinations. The selecting of the plurality of potential migration speeds selects a migration speed below a threshold speed, wherein the threshold speed defines a maximum system utility loss permitted.

    摘要翻译: 本发明的实施例提供了一种用于风险调节的主动数据迁移的方法,计算机程序产品等,以最大化效用。 更具体地说,一种规划数据迁移以最大化正在运行并主动地为至少一个应用服务的存储基础设施的效用的方法包括:选择多个潜在数据项以进行迁移并选择多个潜在迁移目的地,潜在数据项 可以移动 此外,该方法选择可移动潜在数据项的多个潜在迁移速度,并选择潜在数据项能够移动到潜在数据迁移目的地的多个潜在迁移时间。 选择多个潜在迁移速度选择低于阈值速度的迁移速度,其中阈值速度定义允许的最大系统效用损失。

    Approach based on self-evolving models for performance guarantees in a shared storage system
    16.
    发明申请
    Approach based on self-evolving models for performance guarantees in a shared storage system 失效
    在共享存储系统中基于自演进模型进行性能保证的方法

    公开(公告)号:US20070112723A1

    公开(公告)日:2007-05-17

    申请号:US11280012

    申请日:2005-11-16

    IPC分类号: G06F17/30

    摘要: A technique of allocating shared resources in a computer network-based storage system comprises taking periodic performance samples on a running storage system; evaluating an objective function that takes as input the performance samples to quantify how aligned a current state of the storage system is with organizational objectives; building and maintaining models of behavior and capabilities of the storage system by using the performance samples as input; determining how resources of the storage system should be allocated among client computers in the storage system by selecting one among many possible allocations based on predictions generated by the models in order to maximize a value of the objective function; calculating a confidence statistic value for a chosen resource allocation based on an accuracy of the models; and enforcing the chosen resource allocation on the running storage system when the confidence statistic value is at or above a predetermined threshold value.

    摘要翻译: 在基于计算机网络的存储系统中分配共享资源的技术包括在正在运行的存储系统上采取周期性的性能样本; 评估一个目标函数,作为输入性能样本,以量化存储系统的当前状态与组织目标的一致性; 通过使用性能样本作为输入,建立和维护存储系统的行为和功能模型; 通过基于由模型生成的预测来选择许多可能的分配中的一个,以便最大化目标函数的值来确定应该在存储系统中的客户端计算机之间分配存储系统的资源; 基于模型的精度计算所选资源分配的置信度统计值; 以及当所述置信度统计值处于或高于预定阈值时,在所述运行存储系统上执行所选择的资源分配。