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Provenance driven job relevance assessment

机译:出来驱动工作相关性评估

摘要

Described herein is a system and method for ranking and/or taking an action regarding execution of jobs of a shared computing cluster based upon predicted user impact. Information regarding previous executions of a plurality of jobs is obtained, for example, from job execution log(s). Data dependencies of the plurality of jobs are determined. Job impact of each of the plurality of jobs as a function of the determined data dependencies is calculated. User impact of each of the plurality of jobs as a function of the determined data dependencies, the calculated job impact, and time is calculated. The plurality of jobs are ranked in accordance with the calculated user impact. An action is taken in accordance with the ranking of the plurality of jobs. The action can include automatic scheduling of the jobs and/or providing information regarding the rankings to a user.
机译:这里描述的是用于基于预测的用户的影响来排序和/或采取关于共享计算集群的作业的动作的系统和方法。例如,从作业执行日志获得关于多个作业的先前执行的信息。确定多个作业的数据依赖性。计算多个作业的每个作业的作业影响作为所确定的数据依赖性的函数。计算多个作业中的每一个的用户影响,作为所确定的数据依赖性,计算出的作业影响和时间。多个作业按照计算的用户影响排序。按照多个工作的排名采取行动。该动作可以包括作业的自动调度和/或向用户提供关于排名的信息。

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