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Power-aware server selection in nano data center

机译:Nano数据中心中的功耗感知服务器选择

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Optimizing the total power consumption within a data center is an NP-hard problem. Project nano data center was started with the promise of reducing power and cooling cost. This paper is focused on reducing the total power consumption within a nano data center by introducing power-aware server selection. We studied effects of several attributes such as power consumption of servers, size of request, and power consumed by routers, in reducing overall power within a nano-data center. Inspired by our study, we introduced two heuristics for the selection of nano servers as well as intermediate routers. Our heuristics are based on selecting the shortest path with respect to number of intermediate routers and using the least recently used server to serve a request. Through GNS-3 based experiments, we confirmed that our proposed heuristics reduce the overall power consumption in a data center while avoiding the time complexity of the optimal solution.
机译:优化数据中心内的总功耗是NP难题。纳米数据中心项目的开始是希望减少电力和冷却成本。本文重点介绍通过引入功耗感知服务器选择来减少纳米数据中心内的总功耗。我们研究了多种属性的影响,例如服务器的功耗,请求的大小以及路由器的功耗,它们在减少纳米数据中心内的总体功耗方面具有优势。受我们的研究启发,我们介绍了两种启发式方法来选择纳米服务器和中间路由器。我们的启发式方法基于相对于中间路由器的数量选择最短路径,并使用最近最少使用的服务器来满足请求。通过基于GNS-3的实验,我们证实了我们提出的启发式方法可以降低数据中心的总体功耗,同时避免了最佳解决方案的时间复杂性。

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