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    • 16. 发明授权
    • Impact-based migration scheduling from a first tier at a source to a second tier at a destination
    • 基于影响的迁移调度从源的第一层到目的地的第二层
    • US09513835B2
    • 2016-12-06
    • US14593094
    • 2015-01-09
    • International Business Machines Corporation
    • Gabriel AlatorreJames E. OlsonRamani R. RoutrayYang Song
    • G06F13/00G06F3/06G06F11/20
    • G06F3/0647G06F3/0604G06F3/061G06F3/0683G06F11/203
    • Embodiments relate to impact-based migration scheduling. An aspect includes identifying, by a migration scheduling module, a plurality of feasible destination storage devices for a migration session. Another aspect includes determining, for each of the identified destination storage devices, an impact of the migration session during the migration session. Another aspect includes determining, for each of the identified destination storage devices, an impact of the migration session after the migration session is completed. Another aspect includes selecting a destination storage device from the identified destination storage devices based on the impact of the migration session during the migration session and the impact of the migration session after the migration session is completed. Another aspect includes determining a start time and transfer rate for the migration session based on the selected destination storage device.
    • 实施例涉及基于影响的迁移调度。 一个方面包括由迁移调度模块识别用于迁移会话的多个可行目的地存储设备。 另一方面包括为迁移会话期间的迁移会话的影响确定每个所识别的目的地存储设备。 另一方面包括为迁移会话完成之后的每个识别的目的地存储设备确定迁移会话的影响。 另一方面包括基于迁移会话期间的迁移会话的影响以及迁移会话完成后的迁移会话的影响,从所识别的目的地存储设备中选择目的地存储设备。 另一方面包括基于所选择的目的地存储设备确定移动会话的开始时间和传送速率。
    • 20. 发明申请
    • DISTRIBUTED MAP REDUCE NETWORK
    • 分布式地图减少网络
    • US20160212007A1
    • 2016-07-21
    • US14597694
    • 2015-01-15
    • International Business Machines Corporation
    • Gabriel AlatorreDivyesh Jadav
    • H04L12/24
    • H04L41/04G06F9/5066
    • Embodiments relate to a distributed map reduce network. An aspect includes receiving a description of a map reduce job comprising a time deadline. Another aspect includes selecting a set of candidate nodes from a plurality of nodes of the distributed map reduce network, wherein the set of candidate nodes are selected based on cost value. Another aspect includes determining an amount of time required to perform the map reduce job by the set of candidate nodes. Another aspect includes, based on the determined amount of time not meeting the time deadline: selecting a particular node of the set of candidate nodes for replacement based on the geographical location of the particular node; selecting a next node of the plurality of nodes based on the cost value of the next node; and replacing the particular node in the set of candidate nodes with the next node.
    • 实施例涉及分布式地图减少网络。 一方面包括接收包含时间限制的地图缩减作业的描述。 另一方面包括从分布式地图缩小网络的多个节点中选择一组候选节点,其中基于成本值选择候选节点集合。 另一方面包括确定由候选节点组执行地图缩减作业所需的时间量。 另一方面包括:基于所确定的不满足时间限制的时间量:基于特定节点的地理位置选择候选节点集合中的特定节点进行替换; 基于下一个节点的成本值选择多个节点中的下一个节点; 并用下一个节点替换候选节点集合中的特定节点。