Live Migration for Multiple Correlated Virtual Machines in Cloud-based Data Centers

With the development of cloud computing, virtual machine migration is emerging as a promising technique to save energy, enhance resource utilizations, and guarantee Quality of Service (QoS) in cloud datacenters. Most of existing studies on the virtual machine migration, however are based on a single virtual machine migration. Although there are some researches on multiple virtual machines migration, the author usually does not consider the correlation among these virtual machines. In practice, in order to save energy and maintain system performance, cloud providers usually need to migrate multiple correlated virtual machines or migrate the entire virtual datacenter (VDC) request. In this paper, we focus on the efficient online live migration of multiple correlated VMs in VDC requests, for optimizing the migration performance. To solve this problem, we propose an efficient VDC migration algorithm (VDC-M). We use the US-wide NSF network as substrate network to conduct extensive simulation experiments. Simulation results show that the performance of the proposed algorithm is promising in terms of the total VDC remapping cost, the blocking ratio, the average migration time and the average downtime.This research is partially supported by the National Grand Fundamental Research 973 Program of China under grant (2013CB329103), Natural Science Foundation of China grant (61271171, 61571098), China Postdoctoral Science Foundation (2015M570778), the Fundamental Research Funds for the Central Universities (ZYGX2013J002), Guangdong Science and Technology Project (2012B090400031, 2012B090500003, 2012B091000163), and National Development and Reform Commission Project