LOAD BALANCING IN CLUSTER STORAGE SYSTEMS
    11.
    发明公开
    LOAD BALANCING IN CLUSTER STORAGE SYSTEMS 审中-公开
    负载均衡群集存储系统

    公开(公告)号:EP2791813A1

    公开(公告)日:2014-10-22

    申请号:EP12856978.7

    申请日:2012-12-13

    Abstract: Methods and systems for load balancing in a cluster storage system are disclosed herein. The method includes identifying a source node within the cluster storage system from which to move a number of data objects, wherein the source node includes a node with a total load exceeding a threshold value. The method also includes selecting the data objects to move from the source node, wherein the data objects are chosen such that the total load of the source node no longer exceeds the threshold value. The method further includes determining a target node within the cluster storage system based on a proximity to the source node and the total load of the target node and moving the data objects from the source node to the target node.

    RESOURCE MANAGEMENT FOR CLOUD COMPUTING PLATFORMS
    12.
    发明公开
    RESOURCE MANAGEMENT FOR CLOUD COMPUTING PLATFORMS 审中-公开
    资源管理部门的云计算平台

    公开(公告)号:EP2724232A2

    公开(公告)日:2014-04-30

    申请号:EP12803686.0

    申请日:2012-06-13

    CPC classification number: G06Q30/04 G06F9/5072

    Abstract: A system for managing allocation of resources based on service level agreements between application owners and cloud operators. Under some service level agreements, the cloud operator may have responsibility for managing allocation of resources to the software application and may manage the allocation such that the software application executes within an agreed performance level. Operating a cloud computing platform according to such a service level agreement may alleviate for the application owners the complexities of managing allocation of resources and may provide greater flexibility to cloud operators in managing their cloud computing platforms.

    MANAGING POWER PROVISIONING IN DISTRIBUTED COMPUTING
    13.
    发明公开
    MANAGING POWER PROVISIONING IN DISTRIBUTED COMPUTING 审中-公开
    管理分布式计算中的电源配置

    公开(公告)号:EP2550573A2

    公开(公告)日:2013-01-30

    申请号:EP11759960.5

    申请日:2011-03-18

    CPC classification number: G06F1/3209

    Abstract: One or more computers manage power consumption in a plurality of computers by repeatedly evaluating power consumption of pluralities of computers such that any given plurality of computers is evaluated by aggregating indicia of power consumption of the individual computers in the given plurality. The evaluation identifies or predicts pluralities of computers that are over-consuming power and identifies pluralities of computers that are under-consuming power. A first plurality of computers identified as over-consuming power are sent messages to instruct some of its comprising computers or virtual machines (VMs) to lower their computational workload. A second plurality of computers identified as under-consuming power are sent messages instructing the other computers to increase their computation workload.

    Abstract translation: 一台或多台计算机通过重复评估多台计算机的功耗来管理多台计算机中的功耗,从而通过聚合给定多台计算机中的各台计算机的功耗标记来评估任何给定的多台计算机。 评估标识或预测多个电力消耗过度的计算机,并识别多个耗电不足的计算机。 被标识为过度消耗功率的第一多台计算机被发送消息以指示其包括计算机或虚拟机(VM)的一些计算机或虚拟机(VM)降低其计算工作量。 标识为功耗不足的第二多台计算机被发送指示其他计算机增加其计算工作量的消息。

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