基于排队论的异构数据中心性能及能源管理策略

A Strategy for Queuing Theory-Based Performance and Energy Management in Heterogeneous Data Centers

该文研究了怎样在一个数据中心内的几种具有不同处理能力的服务器之间,在消耗最小能量的同时根据等待时间保证性能要求。重点探讨了在给定基于等待时间的性能要求的前提下,使用动态开启/关闭一部分服务器的管理策略,实现最小化数据中心能耗的问题;使用排队论建立了数学模型来确定应开启的服务器的数目。实验结果表明,相比于不考虑服务器分组的调度策略,该方法可以减少能耗,其策略也为研究异构数据中心的能耗与性能的权衡提供了途径。

With the increasing popularity of Internet services and cloud computing, both energy efficiencyand performance guarantees are major concerns for data center operators. However, most of the previous worksonly address this problem in homogeneous data center environments. This paper investigates how to guaranteeperformance requirement in terms of waiting time so as to minimize power consumption among multiple types ofservers with different processing capabilities in a data center. We address the problem of minimizing the energyconsumption of a data center by means of dynamic management policies that switch on/off a certain quantity ofservers necessary under given performance requirements in terms of waiting time. We develop a mathematicalmodel using queuing theory to determine the number of servers that should be used i.e., powered on. Experimentresults show that our scheme can reduce power consumption compared with the non-group division strategy. Ourscheme provides an analytical approach for studying the power-performance tradeoff in the heterogeneous datacenter.