By Topic

A clustering model for memory resource sharing in large scale distributed system

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

3 Author(s)
Rui Chu ; Nat. Lab. for Parallel & Distrib. Process., Changsha ; Nong Xiao ; Xicheng Lu

As an application of large scale distributed network computing system, RAM Grid tries to solve the problem of memory resource sharing and utilization. Due to the special properties of memory, traditional resource information management approaches cannot be adapted easily. This paper proposes a clustering based resource aggregating scheme under the background of RAM Grid, which can reduce the scale of resource information management efficiently. With analogy to the force field and potential energy theory in physics, the basic model, the force field-potential energy model, and the corresponding distributed algorithms are proposed, respectively. The model and algorithms are also evaluated by real network topologies based simulation.

Published in:

Parallel and Distributed Systems, 2007 International Conference on  (Volume:2 )

Date of Conference:

5-7 Dec. 2007