Dynamic and Integrated Load-Balancing Scheduling Algorithm for Cloud Data Centers

作者：Tian Wenhong^*; Zhao Yong; Zhong Yuanliang; Xu Minxian; Jing Chen

来源：China Communications, 2011, 8(6): 117-126.

• cloud computing
• load balance
• dynamic and integrated resource scheduling algorithm
• cloud datacenter

One of the challenging scheduling problems in Cloud data centers is to take the allocation and migration of reconfigurable virtual machines as well as the integrated features of hosting physical machines into consideration. We introduce a Dynamic and Integrated Resource Scheduling algorithm (DAIRS) for Cloud data centers. Unlike traditional load-balance scheduling algorithms which often 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.

• 出版日期2011-10
• 单位电子科技大学