An SMIM algorithm for reduction of energy consumption of virtual machines in a cluster

Applications can take advantage of virtual computation services independently of heterogeneity and locations of servers by using virtual machines in clusters. Here, a virtual machine on an energy-efficient host server has to be selected to perform an application process. In this paper, we newly propose a Simple Monotonically Increasing (SIM) estimation algorithm to estimate the energy consumption of a server to perform application processes and the total execution time of the processes on a server. We also propose an SMI Migration (SMIM) algorithm to make a virtual machine migrate from a host server to a guest server to reduce the total energy consumption of the servers by estimating the energy consumption in the SMI algorithm. In the evaluation, we show the energy consumption of servers in a cluster is reduced in the SMIM algorithm by at least 5% compared with other algorithms.