By Topic

Resource management policy for cloud testbed of China railway

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
$33 $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

5 Author(s)
Baopeng Zhang ; School of Computer and information Technology, Beijing Jiaotong University, China ; Shiyu Gao ; Liming Xia ; Jackson He
more authors

Cloud provides a shared resource pool for different independent or dependent applications. The virtualization techniques and power management techniques can enhance the flexibility with consolidate multiple virtual machines on the physical server. A key challenge is to automate the management of virtual servers while taking account of application requirements, resource utility and so on. This paper proposes a policy for control virtual machines configuration and resource allocation with the aim of dynamic placement of virtual machines and reducing the power consumption. We use utility function to establish the mathematical model to support decision for resource management and validate our approach through cloud testbed for railway application.

Published in:

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)  (Volume:4 )

Date of Conference:

22-24 Oct. 2010