Journal of Computer Applications (计算机应用) 2013/33:12 PP.3586-3590
Concerning the management of the resources in cloud, an energy model and four Virtual Machine Placement (VMP) algorithms were proposed. Firstly, the algorithms calculated the load of the servers in each rack and classified them according to the thresholds. Then the proposed methods selected appropriate virtual machines from servers to migrate using the minimization of migrations policy and accepted the new coming virtual machine allocation requests. At last, the algorithms matched each virtual machine with the servers and found the best server for placement. The experimental results show that, compared with the existing energy-aware resource management algorithm, the proposed technique improves energy efficiency of servers, network equipment, and cooling systems by 2.4%, 18.5%, and 28.1% respectively, resulting in a total of 14.5% improvement on average in the entire datacenter.