Energy-aware Virtual Machine Consolidation for Cloud Data Centers

One of the issues in virtual machine consolidation (VMC) in cloud data centers is categorizing different workloads to classify the state of physical servers. In this paper, we propose a new scheme of host's load categorization in energy-performance VMC framework to reduce energy consumption while meeting the quality of service (QoS) requirement. Specifically the underloaded hosts are classified into three further states, i.e., underloaded, normal and critical by applying the underload detection algorithm. We also design overload detection and virtual machine (VM) selection policies. The simulation results show that the proposed policies outperform the existing policies in CloudSim in terms of both energy and service level agreements violation (SLAV) reduction.