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Energy-efficient virtual machine consolidation algorithm in cloud data centers

Version 2 2024-06-06, 04:33
Version 1 2018-01-22, 14:04
journal contribution
posted on 2024-06-06, 04:33 authored by Z Zhou, ZG Hu, JY Yu, Jemal AbawajyJemal Abawajy, Morshed ChowdhuryMorshed Chowdhury
Cloud data centers consume a multitude of power leading to the problem of high energy consumption. In order to solve this problem, an energy-efficient virtual machine (VM) consolidation algorithm named PVDE (prediction-based VM deployment algorithm for energy efficiency) is presented. The proposed algorithm uses linear weighted method to predict the load of a host and classifies the hosts in the data center, based on the predicted host load, into four classes for the purpose of VMs migration. We also propose four types of VM selection algorithms for the purpose of determining potential VMs to be migrated. We performed extensive performance analysis of the proposed algorithms. Experimental results show that, in contrast to other energy-saving algorithms, the algorithm proposed in this work significantly reduces the energy consumption and maintains low service level agreement (SLA) violations.

History

Journal

Journal of Central South University

Volume

24

Pagination

2331-2341

Location

Hunan Sheng, China

ISSN

2095-2899

eISSN

2227-5223

Language

eng

Publication classification

C Journal article, C1.1 Refereed article in a scholarly journal

Copyright notice

2017, Central South University Press and Springer-Verlag GmbH Germany, part of Springer Nature

Issue

10

Publisher

Central South University Press