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Detection of resource bottlenecks in execution of workflow tasks using provenance data

机译:使用出处数据检测工作流任务执行中的资源瓶颈

摘要

Techniques are provided for detecting resource bottlenecks in workflow task executions using provenance data. An exemplary method comprises: obtaining a state of multiple workflow executions of multiple concurrent workflows performed with different resource allocation configurations in a shared infrastructure environment; obtaining first and second signature execution traces of a task representing first and second resource allocation configurations, respectively; identifying first and second corresponding sequences of time intervals in the first and second signature execution traces for the task, respectively, based on a similarity metric; and identifying a given time interval as a resource bottleneck of a resource that differs between the first and second resource allocation configurations based on a change in execution time for the given time interval between the first and second signature execution traces. The first signature execution trace may be obtained by disaggregating data related to batches of workflow executions.
机译:提供了使用出处数据检测工作流任务执行中的资源瓶颈的技术。示例性方法包括:获取在共享基础设施环境中以不同的资源分配配置执行的多个并发工作流程的多个工作流执行的状态;获得代表第一和第二资源分配配置的任务的第一和第二签名执行痕迹;基于相似度量,分别识别第一和第二签名执行跟踪中的第一和第二签名执行迹线中的第一和第二对应时间间隔;并将给定时间间隔识别为基于第一和第二签名执行迹线之间给定时间间隔的执行时间的改变和第二资源分配配置的资源的资源瓶颈。可以通过分解与批次的工作流程执行相关的数据来获得第一签名执行迹线。

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