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A Call for Energy Efficiency in Data Centers

机译:呼吁提高数据中心的能效

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摘要

In this paper, we explore a data center's performance with a call for energy efficiency through green computing. Some performance metrics we examine in data centers are server energy usage, Power Usage Effectiveness and utilization rate, i.e., the extent to which data center servers are being used. Recent literature indicates that utilization rates at many internal data centers are quite low, resulting in poor usage of resources such as energy and materials. Based on our study, we attribute these low utilization rates to not fully taking advantage of virtualization, and not retiring phantom (unused) servers. This paper describes our initiative corroborated with real data in a university setting. We suggest that future data centers will need to increase their utilization rates for better energy efficiency, and moving towards a cloud provider would help. However, we argue that neither a pure in-house data center or cloud model is the best solution. Instead we recommend, from a decision support perspective, a hybrid model in data center management to lower costs and increase services, while also providing greater energy efficiency.
机译:在本文中,我们探讨了数据中心的性能,并呼吁通过绿色计算提高能效。我们在数据中心检查的一些性能指标是服务器能源使用量,电源使用效率和利用率,即数据中心服务器的使用程度。最近的文献表明,许多内部数据中心的利用率很低,导致能源和材料等资源的利用率很低。根据我们的研究,我们将这些低利用率归因于未充分利用虚拟化,并且没有淘汰幻像(未使用的)服务器。本文描述了我们在大学环境中用真实数据佐证的倡议。我们建议,未来的数据中心将需要提高利用率,以提高能源效率,而转向云提供商将有所帮助。但是,我们认为,单纯的内部数据中心或云模型都不是最佳解决方案。相反,我们从决策支持的角度建议在数据中心管理中使用混合模型,以降低成本和增加服务,同时还提供更高的能源效率。

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