Live Consolidation for Data Centers in Cloud Environment

In this paper, we consider two critical issues in data cen-ters: load balancing and server consolidation. We propose a live consolidation method, which identifies an optimal strat-egy of hosting a new virtual machine (VM). Our algorithm finds the optimal allocation scheme to host a VM in term of load balancing, reducing the migration cost, and mitigating resource redundancy. Based on queueing and optimization theory, we model the allocation resource in data centers and analyze how to choose the location for each VM, and also minimize the number of active servers. The live consolidate algorithm exploits the distribution VM process and deter-mines the optimal active server set. The numerical analysis demonstrates that our algorithm is able to consolidate the system lively. By using a real dataset, our simulation re-sults show that the optimal distribution probability vector can allocate a new VM into a appropriate server to improve the resource utilization and the energy efficiency