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arXiv 0909.1784cs.DBcs.PF
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能源效率:数据管理系统研究的新圣杯

Energy Efficiency: The New Holy Grail of Data Management Systems Research

Stavros Harizopoulos, Mehul Shah, Justin Meza, Parthasarathy Ranganathan

摘要:

大型数据中心的能源成本正在迅速上升,预计很快就会超过硬件成本。因此,数据中心运营商最近开始使用更节能的硬件。尽管电源管理技术的研究越来越多,但迄今为止,从数据管理软件的角度来看,对能源效率的研究很少。在本文中,我们认为,纯硬件方法只是解决方案的一部分,而数据管理软件将是优化能源效率的关键。我们讨论了数据中心能源使用增长所带来的问题,以及软件级优化机会越来越多的趋势。使用两个简单的实验,我们说明了这种优化的潜力,并在这些例子的激励下,我们讨论了减少能源浪费的一般方法。最后,我们指出了数据库系统中现有的地方是有希望的能源效率优化,并敦促数据管理系统社区将重点从面向性能的研究,以节能计算。

英文摘要:

Energy costs are quickly rising in large-scale data centers and are soon projected to overtake the cost of hardware. As a result, data center operators have recently started turning into using more energy-friendly hardware. Despite the growing body of research in power management techniques, there has been little work to date on energy efficiency from a data management software perspective. In this paper, we argue that hardware-only approaches are only part of the solution, and that data management software will be key in optimizing for energy efficiency. We discuss the problems arising from growing energy use in data centers and the trends that point to an increasing set of opportunities for software-level optimizations. Using two simple experiments, we illustrate the potential of such optimizations, and, motivated by these examples, we discuss general approaches for reducing energy waste. Lastly, we point out existing places within database systems that are promising for energy-efficiency optimizations and urge the data management systems community to shift focus from performance-oriented research to energy-efficient computing.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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