2012 IEEE Fifth International Conference on Cloud Computing (2012)
Honolulu, HI, USA USA
June 24, 2012 to June 29, 2012
By utilizing Virtual Machines (VM) and doing server consolidation in a datacenter, a cloud provider can reduce the total energy consumption for servicing his clients with little performance degradation. In particular, the cloud provider can take advantage of dissimilar workloads and by assigning these workloads to the same server, can utilize fewer active servers to service his clients. Placing multiple copies of a VM on different servers and distributing the incoming requests among these VM copies can reduce the resource requirement for each VM copy and help the cloud provider utilize the servers more efficiently. In this paper, the problem of energy-efficient VM placement in a cloud computing system is solved. Precisely, we present an approach that first creates multiple copies of VMs and then uses dynamic programming and local search to place these copies on the physical servers. Simulation results show that the proposed algorithm reduces the total energy consumption by up to 20% with respect to previous work.
Servers, Optimization, Cloud computing, Heuristic algorithms, Energy efficiency, Energy consumption, Memory management, Virtual Machine Replication, Cloud Computing, Virtual Machine Placement, Energy Efficiency, Server Consolidation
H. Goudarzi and M. Pedram, "Energy-Efficient Virtual Machine Replication and Placement in a Cloud Computing System," 2012 IEEE Fifth International Conference on Cloud Computing(CLOUD), Honolulu, HI, USA USA, 2012, pp. 750-757.