摘要： 当前的工作负载机制只考虑数据中心的部分因素，不能从整体上降低分布式数据中心的总体电力成本。为此，以减少分布式Internet数据中心的电力成本为目标，提出一种数据中心间和数据中心内的智能工作负载分配机制JECF。通过联合考虑数据中心所在地区的时变电价、数据中心内冷却系统的效率和服务器的动态运行频率，JECF对分布式数据中心中运行服务器和冷却系统的电力成本进行折中，以降低整体电力成本。实验结果表明，与当前的数据中心工作负载分配机制相比，JECF的性能更好，能降低分布式Internet数据中心的电力成本。

关键词: Internet数据中心, 工作负载分配, 电力成本, 电价, 冷却系统效率, 动态频率调节

Abstract: Cutting the electricity cost of geographically distributed data centers is a hot topic in the area of cloud computer. Each of current workload dispatching mechanism only considers one factor that impacts the electricity cost of geographically distributed datacenters and thus cannot achieve the global minimization. This paper proposes a smart workload dispatching mechanism, Joint Electricity Price-aware, Cooling Efficiency-aware, and Dynamic Frequency Scaling-aware Datacenter Load Balancing(JECF), to cut the electricity cost of distributed Internet datacenters. JECF jointly considers the time-variant electricity prices among datacenters, the efficiency of the cooling system, and the dynamic frequency of active servers in each datacenter, and thus, reduces the total electricity cost of distributed datacenters by trading off the electricity cost consumed by active servers and cooling systems. The evaluation results show JECF outperforms existing datacenter workload dispatching mechanism and achieves significant reduction on the electricity cost of distributed Internet datacenters.

Key words: Internet datacenter, workload dispatching, electricity cost, electricity price, efficiency of cooling system, dynamic frequency scaling

中图分类号: 

• TP311.12