A DYNAMIC AND INTEGRATED LOADBALANCING SCHEDULING ALGORITHM FOR CLOUD DATACENTERS
One of the challenging scheduling problems in Cloud datacenters is to take the allocation and migration of reconfigurable virtual machines into consideration as well as the integrated features of hosting physical machines. We introduce a dynamic and integrated resource scheduling algorithm (DAIRS) for Cloud datacenters. Unlike traditional load-balance scheduling algorithms which consider only one factor such as the CPU load in physical servers, DAIRS treats CPU, memory and network bandwidth integrated for both physical machines and virtual machines. We develop integrated measurement for the total imbalance level of a Cloud datacenter as well as the average imbalance level of each server. Simulation results show that DAIRS has good performance with regard to total imbalance level, average imbalance level of each server, as well as overall running time.
Cloud computing dynamic and integrated resource scheduling algorithms Cloud datacenter
Wenhong Tian Yong Zhao Yuanliang Zhong Minxian Xu Chen Jing
University of Electronic Science and Technology of China, Chengdu, China
国际会议
北京
英文
311-315
2011-09-15（万方平台首次上网日期，不代表论文的发表时间）