Title :
A Novel Heuristic Genetic Load Balancing Algorithm in Grid Computing
Author_Institution :
Gansu Meteorol. Training Centre, Lanzhou, China
Abstract :
In grid computing, load balancing is a technique to distribute workload evenly across two or more computing nodes, in order to get optimal resource utilization, maximize throughput, minimize response time, and avoid overload. This paper takes advantages of genetic algorithm, brings forward a novel heuristic genetic load balancing algorithm and applied to solve grid computing load balancing problem. From the analysis and experiment result, it is concluded that the proposed algorithm is superior to genetic algorithm and other load balancing algorithm.
Keywords :
genetic algorithms; grid computing; resource allocation; grid computing; heuristic genetic load balancing algorithm; optimal resource utilization; response time minimization; throughput maximization; workload distribution; Algorithm design and analysis; Grid computing; Heuristic algorithms; Load management; Processor scheduling; Resource management; Servers; genetic algorithm; grid computing; load balancing; task scheduling;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-7869-9
DOI :
10.1109/IHMSC.2010.142
