面向云中经济和绿色MapReduce计算的最佳资源配置

Large Scale and Big Data Pub Date : 1900-01-01 DOI:10.1201/b17112-18

Keke Chen, Shumin Guo, James Powers, F. Tian

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引用次数: 1

摘要

在云中运行MapReduce程序引入了一个重要的问题:如何优化资源配置以最小化特定作业的财务费用或作业完成时间?实现这一最终目标的一个重要步骤是对MapReduce程序的成本进行建模。在本章中，我们研究了MapReduce处理的整个过程，并构建了1

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Toward Optimal Resource Provisioning for Economical and Green MapReduce Computing in the Cloud

Running MapReduce programs in the cloud introduces the important problem: how to optimize resource provisioning to minimize the financial charge or job finish time for a specific job? An important step towards this ultimate goal is modeling the cost of MapReduce program. In this chapter, we study the whole process of MapReduce processing and build 1

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Large Scale and Big Data

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