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1. 发明授权

US09563532B1 Allocation of tasks in large scale computing systems 有权
标题翻译：大规模计算系统任务分配
公开(公告)号：US09563532B1
公开(公告)日：2017-02-07
申请号：US13310054
申请日：2011-12-02
申请人： Robert Hundt , Lingjia Tang , Jason Mars
发明人： Robert Hundt , Lingjia Tang , Jason Mars
IPC分类号： G06F15/173 , G06F11/34
CPC分类号： G06F11/3409 , G06F11/3006 , G06F11/3442 , G06F11/3452 , G06F11/3466 , G06F2201/81
摘要： Aspects of the invention may be used to allocate tasks among computing machines in large scale computing systems. In one aspect, the method includes executing a first task in the plurality of tasks on a first computing machine and determining a performance degradation threshold for the first task. The method further includes calculating a predicted performance degradation of the first task when a second task is executed on the first computing machine, wherein the predicted performance degradation is determined by comparing a performance interference score of the second task with a performance sensitivity curve of the first task. The method further includes executing the second task on the first computing machine when the predicted performance degradation of the first task is below the performance degradation threshold.
摘要翻译：本发明的各方面可用于在大规模计算系统中的计算机之间分配任务。一方面，该方法包括在第一计算机上执行多个任务中的第一任务并确定第一任务的性能降级阈值。该方法还包括当在第一计算机上执行第二任务时，计算第一任务的预测性能下降，其中通过将第二任务的性能干扰得分与第一任务的性能敏感性曲线进行比较来确定预测的性能下降任务。该方法还包括当第一任务的预测性能下降低于性能降级阈值时，在第一计算机上执行第二任务。

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