An overview of energy efficiency techniques in cluster computing systems
An overview of energy efficiency techniques in cluster computing systems
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DOI：
10.1007/s10586-011-0171-x
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发表时间：
2013-03
期刊：
影响因子：
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通讯作者：
Giorgio Valentini;Walter Lassonde;S. Khan;N. Min-Allah;S. Madani;Juan Li;Limin Zhang;Lizhe Wang-L
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文献类型：
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作者：
Giorgio Valentini;Walter Lassonde;S. Khan;N. Min-Allah;S. Madani;Juan Li;Limin Zhang;Lizhe Wang-L
在集群计算中，有两个主要的限制因素需要更多地考虑能源效率：(a)操作成本，以及(b)系统可靠性。提高集群系统的能效，可以减少能耗、减少余热、降低运行成本、提高系统可靠性。基于能量-功率关系，以及战略电源管理可以降低能耗的事实，我们在本调查中重点研究了两种主要电源管理技术的特点：(a)静态电源管理（SPM）系统，利用低功耗组件来节省能源；(b)动态电源管理（DPM）系统，利用软件和功率可扩展组件来优化能耗。我们介绍了SPM和DPM技术的当前状态，并引用了代表性的例子。最后，本文对未来可能探索的方向进行了简要的讨论和假设，以提高集群计算的能源效率。
Two major constraints demand more consideration for energy efficiency in cluster computing: (a) operational costs, and (b) system reliability. Increasing energy efficiency in cluster systems will reduce energy consumption, excess heat, lower operational costs, and improve system reliability. Based on the energy-power relationship, and the fact that energy consumption can be reduced with strategic power management, we focus in this survey on the characteristic of two main power management technologies: (a) static power management (SPM) systems that utilize low-power components to save the energy, and (b) dynamic power management (DPM) systems that utilize software and power-scalable components to optimize the energy consumption. We present the current state of the art in both of the SPM and DPM techniques, citing representative examples. The survey is concluded with a brief discussion and some assumptions about the possible future directions that could be explored to improve the energy efficiency in cluster computing.