OPTIMIZING A CLUSTERED VIRTUAL COMPUTING ENVIRONMENT

    公开(公告)号:US20140289245A1

    公开(公告)日:2014-09-25

    申请号:US13849596

    申请日:2013-03-25

    CPC classification number: G06F17/30705 G06F3/04847 G06F17/30557 H04L41/14

    Abstract: Exemplary embodiments of the present invention disclose a method, computer program product, and system for optimizing a clustered virtual computing environment. In exemplary embodiments, performance attributes are identified for a set of operating devices within the clustered virtual computing environment. Historical data of the identified performance attributes is obtained to create a historical data repository. A rulebase is developed using the historical data repository and input from user. A combined correlation pattern repository is generated using a first correlation pattern, a second correlation pattern and a scale-time invariant weight fraction.

    Determining weight values for storage devices in a storage tier to use to select one of the storage devices to use as a target storage to which data from a source storage is migrated
    3.
    发明授权
    Determining weight values for storage devices in a storage tier to use to select one of the storage devices to use as a target storage to which data from a source storage is migrated 有权
    确定存储层中的存储设备的重量值,以用于选择其中一个存储设备用作迁移源存储的数据作为目标存储

    公开(公告)号:US09047239B2

    公开(公告)日:2015-06-02

    申请号:US13733112

    申请日:2013-01-02

    Abstract: The present invention relates to a method, system, and computer program product for determining storage device weight values to use to select one of the storage devices to use as a target storage to which data from a source storage is migrated. A determination is made, for each of the storage devices, of static parameter values for static parameters comprising attributes of the storage device and dynamic parameter values for dynamic parameters providing device health information determined by accessing the storage device to determine operational conditions at the storage device. Storage device weight values are determined as a function of the static parameter values and the dynamic parameter values of the device. The determined storage device weight values are used to select one of the storage devices as the target storage to which data from the source storage is migrated.

    Abstract translation: 本发明涉及一种用于确定存储设备权重值的方法,系统和计算机程序产品,所述存储设备权重值用于选择存储设备中的一个以用作迁移源存储器的数据的目标存储。 对于每个存储设备,确定包括存储设备的属性的静态参数的静态参数值和通过访问存储设备确定的用于确定存储设备的操作条件的设备健康信息的动态参数的动态参数值 。 存储设备重量值根据设备的静态参数值和动态参数值确定。 确定的存储设备权重值用于选择一个存储设备作为来自源存储器的数据被迁移的目标存储。

    OPTIMIZING A CLUSTERED VIRTUAL COMPUTING ENVIRONMENT
    4.
    发明申请
    OPTIMIZING A CLUSTERED VIRTUAL COMPUTING ENVIRONMENT 有权
    优化一个集群的虚拟计算环境

    公开(公告)号:US20140380174A1

    公开(公告)日:2014-12-25

    申请号:US14478163

    申请日:2014-09-05

    CPC classification number: G06F17/30705 G06F3/04847 G06F17/30557 H04L41/14

    Abstract: Exemplary embodiments of the present invention disclose a method, computer program product, and system for optimizing a clustered virtual computing environment. In exemplary embodiments, performance attributes are identified for a set of operating devices within the clustered virtual computing environment. Historical data of the identified performance attributes is obtained to create a historical data repository. A rulebase is developed using the historical data repository and input from user. A combined correlation pattern repository is generated using a first correlation pattern, a second correlation pattern and a scale-time invariant weight fraction.

    Abstract translation: 本发明的示例性实施例公开了一种用于优化群集虚拟计算环境的方法,计算机程序产品和系统。 在示例性实施例中,针对集群虚拟计算环境中的一组操作设备识别性能属性。 获取识别的性能属性的历史数据,以创建历史数据存储库。 使用历史数据存储库和用户输入开发一个规则库。 使用第一相关模式,第二相关模式和比例时间不变权重分数来生成组合相关模式存储库。

    Smart optimization of tracks for cloud computing
    5.
    发明授权
    Smart optimization of tracks for cloud computing 失效
    智能优化云计算的轨道

    公开(公告)号:US08745324B2

    公开(公告)日:2014-06-03

    申请号:US13935189

    申请日:2013-07-03

    Abstract: Optimization of tracks on a hard disk includes: determining I/O characteristics for data clusters to be stored on the hard disk; generating a set of solutions for each possible placement configuration; for each solution, calculating a plurality of cost functions using the I/O characteristics for the plurality of data clusters; for each solution, calculating a membership value using the cost function values; for each solution, calculating a fitness value using the membership value; retaining the solutions with the fitness value greater than a predetermined threshold; determining whether at least one stopping condition has been met; if not, adding new solutions to the retained solutions to generate the next set of solutions; and repeating the calculating the membership value, the calculating the fitness value, and the retaining the solutions with the fitness value greater than the predetermined threshold until at least one stopping condition has been met.

    Abstract translation: 优化硬盘上的磁道包括:确定要存储在硬盘上的数据集群的I / O特性; 为每个可能的放置配置生成一组解决方案; 对于每个解决方案,使用多个数据簇的I / O特性来计算多个成本函数; 对于每个解决方案,使用成本函数值计算成员资格值; 对于每个解决方案,使用会员值计算适合度值; 保持具有大于预定阈值的适应度值的解; 确定是否满足至少一个停止条件; 如果没有,为保留的解决方案增加新的解决方案,以产生下一组解决方案; 并且重复计算成员值,计算适合度值,以及保持具有大于预定阈值的适合度值的解,直到满足至少一个停止条件。

    DETERMINING WEIGHT VALUES FOR STORAGE DEVICES IN A STORAGE TIER TO USE TO SELECT ONE OF THE STORAGE DEVICES TO USE AS A TARGET STORAGE TO WHICH DATA FROM A SOURCE STORAGE IS MIGRATED
    7.
    发明申请
    DETERMINING WEIGHT VALUES FOR STORAGE DEVICES IN A STORAGE TIER TO USE TO SELECT ONE OF THE STORAGE DEVICES TO USE AS A TARGET STORAGE TO WHICH DATA FROM A SOURCE STORAGE IS MIGRATED 有权
    确定存储设备中的存储设备的重量值用于选择存储设备之一作为目标存储使用来自源存储器的数据迁移的存储设备

    公开(公告)号:US20150205533A1

    公开(公告)日:2015-07-23

    申请号:US14676726

    申请日:2015-04-01

    Abstract: The present invention relates to a method, system, and computer program product for determining storage device weight values to use to select one of the storage devices to use as a target storage to which data from a source storage is migrated. A determination is made, for each of the storage devices, of static parameter values for static parameters comprising attributes of the storage device and dynamic parameter values for dynamic parameters providing device health information determined by accessing the storage device to determine operational conditions at the storage device. Storage device weight values are determined as a function of the static parameter values and the dynamic parameter values of the device. The determined storage device weight values are used to select one of the storage devices as the target storage to which data from the source storage is migrated.

    Abstract translation: 本发明涉及一种用于确定存储设备权重值的方法,系统和计算机程序产品,所述存储设备权重值用于选择存储设备中的一个以用作迁移源存储器的数据的目标存储。 对于每个存储设备,确定包括存储设备的属性的静态参数的静态参数值和通过访问存储设备确定的用于确定存储设备的操作条件的设备健康信息的动态参数的动态参数值 。 存储设备重量值根据设备的静态参数值和动态参数值确定。 确定的存储设备权重值用于选择一个存储设备作为来自源存储器的数据被迁移的目标存储。

    Method and system for mitigating adjacent track erasure in hard disk drives
    8.
    发明授权
    Method and system for mitigating adjacent track erasure in hard disk drives 有权
    减轻硬盘驱动器中相邻磁道擦除的方法和系统

    公开(公告)号:US08914573B2

    公开(公告)日:2014-12-16

    申请号:US13935119

    申请日:2013-07-03

    Abstract: A method, system, and computer program product for mitigating adjacent track erasures in hard disks, includes: determining input/output (I/O) characteristics for a plurality of blocks on a hard disk; assigning the plurality of blocks to a plurality of categories of I/O characteristics by the processor; and clustering content of the blocks assigned to the same category in one or more continuous tracks on the hard disk. Each block is assigned to one category. Blocks with similar I/O characteristics are clustered on one or more continuous tracks. By performing this clustering, blocks with a high number of I/O operations are grouped and stored on fewer tracks than if they were scattered across numerous tracks. This reduces the number of tracks experiencing a high number of I/O operations, and in turn, the amount of refreshing of adjacent tracks is reduced.

    Abstract translation: 一种用于减轻硬盘中的相邻轨道擦除的方法,系统和计算机程序产品,包括:确定硬盘上的多个块的输入/输出(I / O)特性; 通过处理器将多个块分配给多个I / O类别类别; 以及在硬盘上的一个或多个连续轨道中分配给相同类别的块的内容的聚类。 每个块被分配到一个类别。 具有相似I / O特性的块聚集在一个或多个连续轨道上。 通过执行这种聚类,具有大量I / O操作的块被分组并存储在比分散在多个轨道上的更少的轨道上。 这减少了经历大量I / O操作的轨道的数量,并且减少了相邻轨道的刷新量。

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