Energy Efficient Resource Management in Virtualized Cloud Data Centers

TLDR

Rapid growth in demand for computational power has driven the expansion of large‑scale data centers that consume enormous amounts of electrical power. The authors propose an energy‑efficient resource‑management system for virtualized cloud data centers that reduces operational costs and guarantees required QoS. The system achieves energy savings through continuous VM consolidation based on current resource utilization, virtual network topology, and node thermal state, and by dynamically reallocating VMs via live migration guided by CPU performance requirements, as evaluated in simulation. Simulation results show substantial energy savings while maintaining reliable QoS, justifying further investigation and development of the system.

Abstract

Rapid growth of the demand for computational power by scientific, business and web-applications has led to the creation of large-scale data centers consuming enormous amounts of electrical power. We propose an energy efficient resource management system for virtualized Cloud data centers that reduces operational costs and provides required Quality of Service (QoS). Energy savings are achieved by continuous consolidation of VMs according to current utilization of resources, virtual network topologies established between VMs and thermal state of computing nodes. We present first results of simulation-driven evaluation of heuristics for dynamic reallocation of VMs using live migration according to current requirements for CPU performance. The results show that the proposed technique brings substantial energy savings, while ensuring reliable QoS. This justifies further investigation and development of the proposed resource management system.