Cloud Services Optimization Problem on Energy Utility Resource Allocation
In this paper,the cloud services optimization problem considering energy consumption cost is discussed.The queue model is presented for customer request service on data center.Since the server energy utility is based on the CPU core frequency,the novel trade-off optimization model between services revenue and energy loss cost is proposed in the paper,including allocating the dynamic CPU frequency of server.The HPSO algorithm is proposed for solving the mixed integer programming model.Then novel particle encoding substituting discrete variables and continuous variables efficiently improves solution quality.Finally,the dynamic penalty function method is discussed to convert the constraint optimization problem to non-constraint optimization problem.
Cloud Services Resource Allocation Energy Utility Particle Swarm Optimization
Ming-hai Jiao Ping Yan Chen Li Qiang Wang Yan-jing Wei
Computing Center,Northeastern University,Shenyang 110819;College of Information Science and Engineer School of Economics and Management,Shenyang Aerospace University,Shenyang 110136 College of Information Science and Engineering,Northeastern University,Shenyang 110819
国际会议
长沙
英文
2244-2249
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）