By Topic

A Framework to Evaluate and Predict Performances in Virtual Machines 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

4 Author(s)
Deshi Ye ; Coll. of Comput. Sci., Zhejiang Univ., Hangzhou ; Qinming He ; Hua Chen ; Jianhua Che

Virtualization technology becomes more and more important in area of compute science, such as data center and server consolidation. A large number of hypervisors are available to manage the virtualization either on bare hardware or on host operating systems. One of the important task for the designer is to measure and compare the performance overhead of given virtual machines. In this paper, we provide an analytic framework for the performance analyzing either without running a system or in a runnable real system. Meanwhile, analytic performance models that are based on the queue network theory are developed to study the designs of virtual machines. At the end, a case study of the mathematical models is given to illustrate the performance evaluation.

Published in:

Embedded and Ubiquitous Computing, 2008. EUC '08. IEEE/IFIP International Conference on  (Volume:2 )

Date of Conference:

17-20 Dec. 2008