By Topic

Optimization of Grid Resource Allocation Combining Fuzzy Theory with Generalized Assignment Problem

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)
Li Mingbiao ; Comput. Sch., Wuhan Univ., Wuhan ; Chen XinMeng ; Jiao Feng ; Wu Zhijian

In the existing economy based models of grid resource allocation and management, just as commodity market model and posted price model, sharing resource is based on negotiating about the usage duration or time, the usage fee, QoS (Quality of Service) and some other items between the owner or his broker and the consumer of grid resource. That will cost so much time for a great deal of grid users no matter whether they are grid resource owners or grid resource consumers, which reduced the sharing efficiency in the grid environment and some time is even unaccepted. In this paper, the idea of GRS (Grid Resource Supermarket) is introduced. Posted price model based on GRS and optimization based on GAP (Generalized Assignment Problem) are proposed. Our scheme can help to solve the problem in the previous description. In the end an example is given to show the feasibility of this scheme.

Published in:

Grid and Cooperative Computing, 2007. GCC 2007. Sixth International Conference on

Date of Conference:

16-18 Aug. 2007