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Towards Better Workflow Execution Time Estimation

机译:走向更好的工作流执行时间估计

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Authors highlight the importance of estimating workflow execution time in the scheduling problem and in pricing models in Clouds. Claim that better approaches need to be developed to obtain precise estimates of execution time. Describe straightforward regression for stochastic execution time estimation. Propose a combination of Chebyshev-like distribution-free inequalities and distribution-based approaches to calculate better confidence bounds on runtime based on results of statistical tests. Finally, authors explain the need of developing better algorithm to compute workflow execution time based on stochastic estimates of tasks' execution time. Explain the need of developing better workflow runtime estimation algorithm. Finally, authors present an approach to estimating workflow execution time based on stochastic estimates of tasks' execution time.
机译:作者突出了估算调度问题中的工作流执行时间以及云中定价模型的重要性。声称需要开发更好的方法来获得执行时间的精确估计。描述随机执行时间估计的直接回归。提出了类似Chebyshev的无分发不等式和基于分配的方法的组合,以根据统计测试的结果计算运行时的更好的置信度界限。最后,作者解释了需要开发更好的算法来基于任务执行时间的随机估计来计算工作流执行时间。解释需要开发更好的工作流程运行时间估计算法。最后,作者介绍了一种基于任务执行时间的随机估计来估计工作流执行时间的方法。

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