Energy-aware scheduling in clouc computing systems

I. Cotes-Ruiz, R. P. Prado, S. García-Galán, J. E. Muñoz-Expósito
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Abstract

The main objective of this work is to reduce power consumption and energy of a datacenter. There are various power saving techniques. A fuzzy system-based scheduler has been used, comparing its results with other well-known algorithms. The methods used in this paper are based on a combination of the DVFS algorithm and the development of a rule-based expert system to provide power-based planners for task planning domains. The parameters considered in the system are explained in detail and the results obtained are analyzed.
云计算系统中的能源感知调度
这项工作的主要目标是降低数据中心的功耗和能源。有各种各样的节能技术。采用了一种基于模糊系统的调度算法,并将其结果与其他知名算法进行了比较。本文使用的方法是基于DVFS算法和基于规则的专家系统的开发相结合,为任务规划域提供基于功率的规划者。详细说明了系统所考虑的参数,并对所得到的结果进行了分析。
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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