Title: An energy-aware load balancing algorithm to perform computation type application processes in a cluster of servers
Authors: Tomoya Enokido; Dilawaer Doulikun; Makoto Takizawa
Addresses: Faculty of Business Administration, Rissho University, Tokyo, Japan ' Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Tokyo, Japan ' Department of Advanced Sciences, Faculty of Science and Engineering, Hosei University, Tokyo, Japan
Abstract: A cluster of servers is getting scalable and widely used in various types of applications. It is critical to reduce the electric energy consumed by servers in a cluster to realise eco society. In this paper, we newly propose an improved delay time based (IDTB) algorithm to reduce the total electric energy consumption of a cluster and to more efficiently utilise the computation resources for performing application processes in a cluster. In the IDTB algorithm, a load balancer estimates the state of each server just by using responses from processes and without additionally communicating with servers to collect states of the servers. We evaluate the IDTB algorithm compared with the basic round-robin (RR), improved power consumption laxity based (IPCLB), and delay time based (DTB) algorithms. We show the total electric energy consumption of a cluster and response time of each process can be reduced in the IDTB algorithm.
Keywords: green computing; cloud computing; energy-aware distributed systems; energy-efficient server clusters; energy-efficient load balancing; electric power consumption; energy consumption; power consumption laxity; delay time; energy awareness; energy efficiency; clustering.
International Journal of Web and Grid Services, 2017 Vol.13 No.2, pp.145 - 169
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 25 Mar 2017 *