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1. 发明公开

EP3138005A1 LOAD BALANCING SCALABLE STORAGE UTILIZING OPTIMIZATION MODULES 审中-公开
标题翻译： SKALIERBARER LASTAUSGLEICHSPEICHER MIT VERWENDUNG VON OPTIMIERUNGSMODULEN
公开(公告)号：EP3138005A1
公开(公告)日：2017-03-08
申请号：EP15724827.9
申请日：2015-04-29
申请人： Microsoft Technology Licensing, LLC
发明人： WANG, Ju , SKJOLSVOLD, Arild E. , CALDER, Bradley Gene , SONG, Hosung , JI, Xinhua , HARRIS, Ralph Burton, III
IPC分类号： G06F9/50 , G06F3/06
CPC分类号： H04L67/1025 , G06F3/0683 , G06F9/5077 , G06F9/5083 , H04L47/783 , H04L67/1097
摘要： 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.
摘要翻译：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，并且基于优化程序来优化可扩展存储。所述优化程序包括提供多个候选操作以及对于具有比所触发的优化模块更高优先级的多个优化模块的选定优化模块，从多个候选操作中移除将会减少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，并且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。该方法还包括执行该至少一个操作。

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