The energy consumption laxity-based algorithm to perform computation processes in virtual machine environments. (18th July 2019)

• Record Type: Journal Article
• Authors: Enokido, Tomoya; Duolikun, Dilawaer; Takizawa, Makoto
• Is Part Of: International journal of grid and utility computing. Volume 10:Number 5(2019)
• Page Start: 545
• Page End: 555
• Publication Date: 2019-07-18
• Subjects: green computing -- virtual machines -- energy-efficient server cluster systems -- power consumption models -- energy-efficient load balancing algorithms; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

Server cluster systems equipped with virtual machines are widely used to realise scalable and high-performance computing systems. In order to satisfy application requirements like response time, processing loads of virtual machines have to balance with one another in a server cluster. In addition to achieve the performance objectives, the total electric energy of a server cluster to perform application processes has to be reduced. In this paper, the Energy Consumption Laxity Based (ECLB) algorithm is proposed to allocate computation type application processes to virtual machines in a server cluster so that the total electric energy of the server cluster and response time of each process can be reduced. We evaluate the ECLB algorithm compared with basic Round-Robin (RR) algorithm. Evaluation results show the average total electric energy of a server cluster and average response time of each process in the ECLB algorithm can be more reduced than in the RR algorithm.