Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

An Energy-Aware VMs Placement Algorithm in Cloud Computing Environment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wang Xiaoli ; Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China ; Liu Zhanghui

With the cloud paradigm being applied broadly, how to make an efficient scheme of resource placement regarding to the energy cost has become a prerequisite problem to be solved. But nearly all of existing resource placement approaches always ignore the energy use caused by virtual machine (VM) dynamical migration. In this paper, we established the energy consumption model in cloud computing environment, and analyzed the energy use in our model. Based on the analysis, we improved the Online Bin Packing algorithm, and proposed a new energy-aware approach with consideration of energy efficiency in cloud computing environment which is composed of virtual machines. At the end of this paper, we proved our placement approach by simulation results. The simulation results show that this algorithm can not only increase resource utilization rates, but also make the data center more energy-efficient.

Published in:

Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on

Date of Conference:

6-7 Jan. 2012