By Topic

One Kind of Improved Load Balancing Algorithm in Grid Computing

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

2 Author(s)
Hai-yun Peng ; Dept. of Comput. Sci., Zhoukou Normal Univ., Zhoukou, China ; Qian Li

The article tries to solve the problems of resource load balance under the gridding environment, combined with the advantage of simulated annealing algorithm and genetic algorithm. It offered an optimal method of task scheduling based on genetic simulated annealing Clonal Algorithm. The Simulation experiment shows that the algorithm overcomes the shortcoming of that genetic algorithm drop into local optima easily. The global search is very capability, it can achieve resource load balancing effectively.

Published in:

Network Computing and Information Security (NCIS), 2011 International Conference on  (Volume:1 )

Date of Conference:

14-15 May 2011