Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

The Green Scheduling Architecture for the Virtual Resource Supply

The Green Scheduling Architecture for the Virtual Resource Supply The data center is a large cluster system. The IT clusters provide users with various services and resources, which make decentralized energy consumption over the past come together, resulting in great energy consumption of the data center. Rational resource allocation of virtual machine is an efficient way to reduce energy consumption. This paper proposed a green scheduling framework for the virtual resource supply GS_VRS to reduce the energy consumption of center as a goal. Through the multiobjective optimization of scheduling and migration of virtual machines, this framework can efficiently reduce the energy consumption of data center. Compared with other representative strategy, the experiment result showed that strategy proposed in this paper not only reduced energy consumption, but also considered the network flow, migration costs, performance interference and many other aspects, the GS_VRS algorithm proposed in this paper can efficiently reduce the energy consumption of data center which averaged 49.78% less on average than the most energy-intensive random algorithm. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Control and Computer Sciences Springer Journals

The Green Scheduling Architecture for the Virtual Resource Supply

Download PDF
13 pages

Loading next page...
 
/lp/springer-journals/the-green-scheduling-architecture-for-the-virtual-resource-supply-uAdmJ5R1Lc

References (20)

Publisher
Springer Journals
Copyright
Copyright © Allerton Press, Inc. 2023. ISSN 0146-4116, Automatic Control and Computer Sciences, 2023, Vol. 57, No. 1, pp. 14–26. © Allerton Press, Inc., 2023.
ISSN
0146-4116
eISSN
1558-108X
DOI
10.3103/s0146411623010108
Publisher site
See Article on Publisher Site

Abstract

The data center is a large cluster system. The IT clusters provide users with various services and resources, which make decentralized energy consumption over the past come together, resulting in great energy consumption of the data center. Rational resource allocation of virtual machine is an efficient way to reduce energy consumption. This paper proposed a green scheduling framework for the virtual resource supply GS_VRS to reduce the energy consumption of center as a goal. Through the multiobjective optimization of scheduling and migration of virtual machines, this framework can efficiently reduce the energy consumption of data center. Compared with other representative strategy, the experiment result showed that strategy proposed in this paper not only reduced energy consumption, but also considered the network flow, migration costs, performance interference and many other aspects, the GS_VRS algorithm proposed in this paper can efficiently reduce the energy consumption of data center which averaged 49.78% less on average than the most energy-intensive random algorithm.

Journal

Automatic Control and Computer Sciences – Springer Journals

Published: Feb 1, 2023

Keywords: cloud computing; virtual machine scheduling; energy efficient; network flow

There are no references for this article.