A Load Balancing Aware Virtual Machine Live Migration Algorithm

Green computing has become a research hotspot in service-oriented cloud center. Resources in a data center are always virtualized into a resource pool for uniform management and scheduling. Thus load balance in the cloud data center is of great importance to reach some kind of service levels and has become an extremely important part of the cloud data center. In this paper, we focus on virtual machine migration algorithm with adaptive load balancing. We model virtual machine resource application as a mathematical optimization problem. Resources importance, such as memory, CPU and network bandwidth and network topology are modeled as weight in a linear combination of these kinds of resources. We solve this problem with dynamic programming and get an optimized virtual machine migration plan. We validate the proposed method in a simulated data center with CloudSim and results show that with our method, data center load can be reduced effectively.