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Dynamic optimization of workload execution based on statistical data collection and updated job profiling

机译:根据统计数据收集和更新的作业分析动态优化工作负载执行

摘要

Embodiments presented herein provide techniques for optimizing parallel data flows of a batch processing job using a profile of the processing job. An application retrieves a job profile for a processing job. The processing job has a plurality of processing stages specified in an execution profile. The job profile includes statistical data for at least one of the processing stages obtained during prior executions of the job. The application modifies properties of the execution profile based on the job profile to optimize the execution of the job. The application executes the processing job with the modified execution profile.
机译:本文提出的实施例提供了用于使用处理作业的简档来优化批处理作业的并行数据流的技术。应用程序检索处理作业的作业资料。处理作业具有在执行配置文件中指定的多个处理阶段。作业简档包括在作业的先前执行期间获得的至少一个处理阶段的统计数据。该应用程序根据作业配置文件修改执行配置文件的属性,以优化作业的执行。应用程序使用修改后的执行配置文件执行处理作业。

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