A Novel Energy Efficient Algorithm for Cloud Resource Management
Siyuan Jing · 2013
The size of cloud data center is growing rapidly. The larger the data center is, the more energy it consumes. Therefore, more and more researchers focus on energy efficient resource management techniques in the data center. The most popular way is a dynamic on-demand resource provision which allows turning off part of idle servers to save energy. But numerous part of the relevant research just considers how to maximize the resource utilization, i.e. minimize the required servers, without considering the overhead of a virtual machine (abbreviated as a VM) placement change. In this work, we propose a new method to minimize the energy consumption and VM migration at the same time; moreover we also design a network-flow-theory based approximate algorithm to solve it. The simulation results show that, compared to existing work, the proposed method can slightly decrease the energy consumption but greatly decrease the number of VM placement change (nearly 75%).