Design and implementation of a multi-objective optimization mechanism for virtual machine placement in cloud computing data center

Abstract

Cloud computing is becoming a popular way of supplying and usingcomputing resources. A cloud-computing data center is equipped with a largenumber of physical resources and must manage an even larger number ofvirtual machines (VMs). The center’s VM placement strategy affects theutilization of physical resources, and consequently, it influences operationalcosts. Our goal is to develop a multi-objective optimization mechanism for VMplacement that satisfies various constraints and results in the lowest operationalcost. The number of possible combinations of VMs and hosts can be extremelylarge. For the mechanism to be practical, the number of possible combinationsmust be reduced. We reduced computational overheads by classifying VM hostsinto a relatively small number of equivalent sets. Simulation results show thatexpected operational costs can be significantly reduced by applying theproposed mechanism.