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    • 1. 发明申请
    • LOAD BALANCING SCALABLE STORAGE UTILIZING OPTIMIZATION MODULES
    • 使用优化模块的负载平衡存储
    • WO2015168296A1
    • 2015-11-05
    • PCT/US2015/028310
    • 2015-04-29
    • MICROSOFT TECHNOLOGY LICENSING, LLC
    • WANG, JuSKJOLSVOLD, Arild E.CALDER, Bradley GeneSONG, HosungJI, XinhuaHARRIS, Ralph Burton, III
    • G06F9/50G06F3/06
    • H04L67/1025G06F3/0683G06F9/5077G06F9/5083H04L47/783H04L67/1097
    • A method includes determining that a trigger condition of a triggered optimization module of a plurality of optimization modules is met and optimizing scalable storage based on an optimization routine. The optimization routine includes providing a plurality of candidate operations and for a selected optimization module of the plurality of optimization modules that has a higher priority than the triggered optimization module, removing a candidate operation from the plurality of candidate operations that would diminish a modeled state of the scalable storage for the selected optimization module. The optimization routine also includes determining at least one operation of the plurality of candidate operations that would improve the modeled state of the scalable storage for the triggered optimization module and updating the modeled state of the scalable storage to model executing the at least one operation. The method further includes executing the at least one operation.
    • 一种方法包括确定满足多个优化模块的触发优化模块的触发条件并且基于优化程序优化可扩展存储。 所述优化程序包括提供多个候选操作,并且对于具有比触发的优化模块更高的优先级的多个优化模块中的选定的优化模块,从多个候选操作中移除将会削弱模拟状态的模拟状态的候选操作 所选优化模块的可扩展存储。 所述优化例程还包括确定所述多个候选操作中的至少一个操作,所述操作将改善所述触发的优化模块的所述可伸缩存储器的建模状态,以及将所述可伸缩存储器的建模状态更新为执行所述至少一个操作的模型。 所述方法还包括执行所述至少一个操作。
    • 3. 发明申请
    • INTEGRATED GLOBAL RESOURCE ALLOCATION AND LOAD BALANCING
    • 综合全球资源分配和负荷平衡
    • WO2016003840A1
    • 2016-01-07
    • PCT/US2015/038211
    • 2015-06-29
    • MICROSOFT TECHNOLOGY LICENSING, LLC
    • SKJOLSVOLD, ArildCALDER, Bradley GeneWANG, Ju
    • G06F9/50
    • H04L43/0876G06F9/505H04L47/828
    • In various embodiments, methods and systems for integrated resource allocation and loading balancing are provided. A global resource allocator receives usage information of resources in a cloud computing system. The usage information is associated with a plurality of accounts and consumer operations pairs on servers of the cloud computing system. For selected account and consumer operation pairs associated with a particular resource, allocation targets are determined and communicated to the corresponding server of the selected account and consumer operation pairs. The servers use the resource based on the allocation targets. A load balancer receives the usage information the resource and the allocation targets. The allocation targets indicate a load by the selected account and consumer operation pairs on their corresponding servers. The load balancer performs a load balancing operation to locate a server with a capacity to process the allocated target of the selected account and consumer operation pairs.
    • 在各种实施例中,提供了用于集成资源分配和负载平衡的方法和系统。 全局资源分配器接收云计算系统中资源的使用信息。 使用信息与云计算系统的服务器上的多个帐户和消费者操作对相关联。 对于与特定资源相关联的所选帐户和消费者操作对,确定分配目标并将其传送到所选择的帐户和消费者操作对的相应服务器。 服务器根据分配目标使用资源。 负载平衡器接收资源和分配目标的使用信息。 分配目标指示所选帐户和其对应服务器上的消费者操作对的负载。 负载平衡器执行负载平衡操作,以定位具有处理所选帐户和消费者操作对的已分配目标的服务器。