Dynamic Virtual Machine Placement for Cloud Computing Environments

With the increasing application of large scale cloud computing platforms, how to place virtual machine (VM) requests into available computing servers to reduce energy consumption has become a hot research subject. However, the current VM placement approaches are still not effective for live migrations with dynamic characters. In this paper, we proposed a dynamic VM placement scheme for energy efficient resource allocation in a cloud platform. Our dynamic VM placement scheme supports VM requests scheduling and live migration to minimize the number of active nodes in order to save the overall energy in a virtualized data center. Specifically, the proposed VM placement scheme is built on a statistical mathematic framework, and it incorporates all the virtualization overheads in the dynamic migration process. In addition, our scheme considers other important factors in related to power consumption, and it is ready to be extended with more considerations on users demand. We conduct extensive evaluations based on HPC jobs in a simulated environment. The results prove the effectiveness of our scheme.