Online Prediction-Based Dynamic Cluster Configuration for Energy Conservation
Dynamic cluster configuration is dynamically adjusting the servers scale based on the network load in order to achieve optimal service performance under the minimum system power consumption. In previous methods, they adopted adjustment methods based on the specific physical experimental model without the description of mathematical models. This paper presents a prediction-based dynamic clusters configuration strategy, it uses least mean square (LMS) algorithm to predict service requests in the future according to the historical information of service requests, and then on the basis of the load requests and the cluster processing power to decide the servers scale and dynamically adjust the opening and shutdown of the computers in the clusters. Simulation verifies the feasibility and superiority of the scheduling strategy.
server clusters dynamic clusters configuration prediction algorithm LMS energy conservation
Bin Liu Jian Yang Yu Zhao
Department of Automation University of Science and Technology of China USTC Hefei China Shanghai Institute of Microsystem and Information Technology (SIMIT) Chinese Academy of ciences (CAS
国际会议
The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)
沈阳
英文
247-251
2010-03-27（万方平台首次上网日期，不代表论文的发表时间）