Simple estimation and energy‐aware migration models of virtual machines in a server cluster

Abstract

Summary In order to realize green society, it is critical to reduce electric energy consumed by servers in clusters. In our previous studies, these types of algorithms are proposed to select an energy‐efficient server to perform an application process issued by a client. In this paper, we newly discuss a migration approach to reducing the electric energy consumption of servers where virtual machines with application processes migrate to more energy‐efficient servers. We propose a new algorithm called ISEAM2 to reduce the electric energy consumption of servers. Here, a pair of a host server and a virtual machine on the host server are first selected to perform a process issued by an application. In addition, a target virtual machine on a host server and a guest server to which the target virtual machine migrates are selected so that the electric energy consumption of the host and guest servers can be minimized. Thus, virtual machines with application processes migrate to more energy‐efficient servers. We also propose a simple way to estimate the termination time of every process on each server. In the evaluation, we show the total electric energy consumption and total active time of servers, and the average execution time of processes can be reduced in the ISEAM2 algorithm compared with other algorithms.

A method for virtual machine migration in cloud computing using a collective behavior‐based metaheuristics algorithm

“…On the other hand, virtualization is a technique that hides the physical properties of resources while still making access possible for users . This technique simultaneously creates the possibility of separating or sharing cloud resources between several different environments, which are called virtual machines (VMs), so that these VMs can interact with each other . Also, with the fast development of cloud services, cloud data centers consume a significant amount of energy .…”

Special Issue on Cloud of Things Applications

“…Watanabe et al proposed a migration approach for reducing the electric energy consumption of servers where virtual machines with application processes migrate to more energy‐efficient servers. Then, the authors proposed an algorithm called ISEAM2 to reduce the electric energy consumption of servers.…”