Title :
One Kind of Improved Load Balancing Algorithm in Grid Computing
Author :
Peng, Hai-yun ; Li, Qian
Author_Institution :
Dept. of Comput. Sci., Zhoukou Normal Univ., Zhoukou, China
Abstract :
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.
Keywords :
genetic algorithms; grid computing; resource allocation; scheduling; search problems; simulated annealing; clonal algorithm; genetic simulated annealing algorithm; grid computing; gridding environment; optimal method; resource load balancing algorithm; task scheduling; Annealing; Genetic algorithms; Genetics; Load modeling; Processor scheduling; Scheduling; Simulated annealing; Affinity; genetic simulated annealing; load balancing; task scheduling;
Conference_Titel :
Network Computing and Information Security (NCIS), 2011 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-61284-347-6
DOI :
10.1109/NCIS.2011.77
