POWER-AWARE SCHEDULING OF REAL-TIME VIRTUAL MACHINES IN CLOUD DATA CENTERS CONSIDERING FIXED PROCESSING INTERVALS
In Cloud data centers,Virtual Machines (VMs) as resources for Infrastructure as a service (IaaS) can be dynamically allocated to different customers to meet their application goals.In this paper,from the providers point of view of reducing power consumption,we investigate the power-aware scheduling of real-time VMs by considering fixed processing intervals.In the case of all VMs sharing random portions of the total capacity of a Physical Machine (PM),finding the optimal solution of minimizing the total number of PMs is NP complete as proved in many open literature.Hence,we model the problem as a modified interval partitioning problem to provide approximate solutions and propose scheduling schemes to reduce the power consumption.Simulation results show our proposed scheduling schemes incur 8%-40% less power consumptions than existing algorithms.
Cloud computing Power-aware scheduling Fixed processing intervals Modified interval scheduling
Wenhong Tian Chee Shin Yeo Ruini Xue Yuanliang Zhong
School of Computer Science and Engineering,University of Electronic Science and Technology of China, Department of Electrical Engineering,Feng Chia University,Taichung,Chinese Taipei
国际会议
杭州
英文
337-341
2012-10-30（万方平台首次上网日期，不代表论文的发表时间）