A Constraint Programming Based Energy Aware Resource Management Middleware for Clouds Processing MapReduce Jobs with Deadlines

A. Gregory, S. Majumdar
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引用次数: 10

Abstract

This paper concerns guarantees on system performance through Service Level Agreement (SLA) compliance and focuses on devising energy aware resource management techniques based on Dynamic Voltage and Frequency Scaling (DVFS) used by resource management middleware in clouds that handle MapReduce jobs. This research formulates the resource management problem as an optimization problem using Constraint Programming (CP). Experimental results presented in the paper demonstrate the effectiveness of the technique.
基于约束编程的MapReduce作业的能量感知资源管理中间件
本文关注通过遵从服务水平协议(SLA)来保证系统性能,并着重于设计基于动态电压和频率缩放(DVFS)的能源感知资源管理技术,该技术被用于处理MapReduce作业的云中的资源管理中间件。本研究将资源管理问题表述为约束规划(CP)的优化问题。实验结果证明了该方法的有效性。
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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