基于阶梯电价策略的数据中心成本优化

Step Tariff Based Electricity Cost Optimization in Data Center

数据中心的电耗不断增大导致用以维持数据中心运转的电耗成本急剧增加,电耗成本已经成为数据中心运营和维护的最大成本所在.物联网和智能电网技术的出现为我们优化能耗成本以及碳排放量提出了一种新的解决方法.本文结合中国国情,提出了一种新的基于阶梯电价的数据中心电耗成本模型,并提出了一种有效的降低数据中心总电耗成本的算法负载重分配算法.实验部分将本文提出的负载重分配算法与直接分配算法进行了比较,比较结果说明本文提出的算法能在保证网络延迟的前提下,有效的降低电耗成本.

Total electricity cost increases sharply with the grows up of IDC power consumption, which is a huge burden to IDC opera-tion and maintenance. It becomes feasible that the optimization of the total electricity cost for IDC by employing the advancement ofintemet of things and smart grid. In this paper, an electricity cost model based on step tariff is presented to solve the problem of how toreduce IDC＇s cost. Then we proposed an efficient Workload Redistribution Scheduling （WRS for short） for reducing total electricitycost. Experimental results show that, comparing with Direct Allocation Scheduling （ DAS for short ）, WRS can minimize total electrici-ty cost effectively.