JOURNAL ARTICLE

Virtual Machines Scheduling Algorithm Based on Multi-Objective Optimization in Cloud Computing

Jian ZhuYi ZhuangJing LiWei Zhu

Year: 2014 Journal:   Advanced materials research Vol: 1046 Pages: 508-511   Publisher: Trans Tech Publications

Abstract

How to reduce energy consumption while improving utility of datacenter is one of the key technologies in the cloud computing environment. In this paper, we use energy consumption and utility of data center as objective functions to set up a virtual machine scheduling model based on multi-objective optimization VMSA-MOP, and design a virtual machine scheduling algorithm based on NSGA-2 to solve the model. Experimental results show that compared with other virtual machine scheduling algorithms, our algorithm can obtain relatively optimal scheduling results.

Keywords:
Computer science Cloud computing Virtual machine Energy consumption Scheduling (production processes) Fair-share scheduling Distributed computing Dynamic priority scheduling Two-level scheduling Algorithm Mathematical optimization Engineering Operating system Schedule Mathematics

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
3
Refs
0.16
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications

Related Documents

© 2026 ScienceGate Book Chapters — All rights reserved.