一种最小化绿色数据中心电费的负载调度算法

为了减少电费和碳排放，数据中心运营商开始建立就地绿色能源发电厂以进行供电.然而，负载的波动性、电价的时间差异性以及绿色能源的间歇性，给节约数据中心电费带来了挑战.针对以上问题，提出一种在线式负载调度算法，可以在不使用未来的负载、电价和绿色能源可用性信息的前提下，最小化数据中心的电费.首先，建立拥有就地绿色能源发电厂的数据中心的电费模型；然后，将数据中心电费最小化问题形式化为一个随机优化问题；最后，求解该优化问题得到相应的负载调度策略.基于真实数据的实验结果表明：该算法可以在保证负载性能的前提下，有效降低数据中心的电力成本.

Workload Scheduling Algorithm for Minimizing Electricity Bills of Green Data Centers

In order to reduce both electricity bills and carbon emission, data center operators begin to build their own on-site green energy plants. However, challenges arise with the fluctuating workload, temporally diverse electricity price and intermittent green energy. To deal with these challenges, this paper presents an online workload scheduling algorithm which can minimize the total electricity bills of a data center without any future information about workload, electricity price or green energy availability. First, a model for the total electricity bills of a data center is introduced. Then a stochastic optimization problem to minimize the electricity bills is formulated. Finally, solution to the optimation problem is made to form the corresponding workload scheduling policy. Experimental results based on real-world traces show that the proposed algorithm can effectively reduce the total electricity bills while guaranteeing the workload performance.