在下一代应用中调度原位分析

2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) Pub Date : 2016-05-16 DOI:10.1109/CCGrid.2016.42

Oscar H. Mondragon, P. Bridges, Scott Levy, Kurt B. Ferreira, Patrick M. Widener

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引用次数: 7

摘要

下一代应用程序越来越依赖于原位分析来指导计算，减少I/O执行量，并执行其他重要任务。然而，计划何时何地运行分析是具有挑战性的。本文量化了在大规模应用中，应用程序调度和节点分析的不同方法的成本和收益，包括空间共享、非协调分时和组调度分时。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Scheduling In-Situ Analytics in Next-Generation Applications

Next-generation applications increasingly rely on in situ analytics to guide computation, reduce the amount of I/O performed, and perform other important tasks. Scheduling where and when to run analytics is challenging, however. This paper quantifies the costs and benefits of different approaches to scheduling applications and analytics on nodes in large-scale applications, including space sharing, uncoordinated time sharing, and gang scheduled time sharing.

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来源期刊

2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)

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