By Topic

LVMM: A lightweight virtual machine memory management architecture for virtual 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
$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

4 Author(s)
Weizhe Zhang ; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China ; Tao Cheng ; Hui He ; Albert M. K. Cheng

Virtualization technology recently becomes a hot research topic again in both industry and academics. Some physical hardware such as processors and I/O devices are shared among virtual machines using time slicing, but the memory resource management is relatively complicated. A lightweight memory management architecture for multiple virtual machines is proposed, and it includes a mixture of self-adjustment and global-adjustment policies, both of which collaborate with each other to improve the memory efficiency. Experimental results show that our memory management method is effective, and significantly increase the performance of overall system about 20-30%.

Published in:

Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on  (Volume:1 )

Date of Conference:

4-7 Aug. 2011