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    • 1. 发明授权
    • Scenario based optimization
    • 基于情景的优化
    • US08578355B1
    • 2013-11-05
    • US12728099
    • 2010-03-19
    • Jason MarsRobert Hundt
    • Jason MarsRobert Hundt
    • G06F9/45
    • G06F8/443
    • Techniques and systems for scenario based optimization can include generating multiple different versions of a program segment based on different respective execution scenarios associated with an execution of a program, the program operable to use the program segment versions. In another aspect, techniques and systems can include executing a program executable associated with multiple different versions of a program segment, analyzing the execution for an indication of at least one of the execution scenarios to select one of the program segment versions based on the indication, and causing the execution to use the selected program segment version during at least a portion of the execution.
    • 用于基于场景的优化的技术和系统可以包括基于与程序的执行相关联的不同的相应执行方案来生成程序段的多个不同版本,该程序可操作以使用程序段版本。 在另一方面,技术和系统可以包括执行与程序段的多个不同版本相关联的程序可执行程序,分析执行以指示执行情景中的至少一个,以基于该指示来选择一个程序段版本, 并且在执行的至少一部分期间使执行使用所选择的程序段版本。
    • 2. 发明授权
    • Allocation of tasks in large scale computing systems
    • 大规模计算系统任务分配
    • US09563532B1
    • 2017-02-07
    • US13310054
    • 2011-12-02
    • Robert HundtLingjia TangJason Mars
    • Robert HundtLingjia TangJason Mars
    • G06F15/173G06F11/34
    • G06F11/3409G06F11/3006G06F11/3442G06F11/3452G06F11/3466G06F2201/81
    • 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.
    • 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。