Traffic-aware Virtual Machine Placement Without Power Consumption Increment in Cloud Data Center
Hieu Trong Vu, Soonwook Hwang · 2013
As the demand for computing resource grows, data centers have been enlarging and energy usage is a critical issue for cloud provider as well as the carbon dioxide emission. In order to save energy, virtual machines should be consolidated to execute on as small number of physical machines as possible. However, for highly communicating virtual machines in multi-tier data centers, the migration can misplace them at long distance sections, thus increase the latency and reduce the overall performance. In this paper we present an algorithm that both improve communication performance by reducing overall traffic cost of virtual machines and save energy by increasing CPU utilization.