The week's pick
Random Articles
Reseach Article
Article:Load Balancing in Grid Environment using Machine Learning - Innovative Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 8 - Number 10 |
| Year of Publication: 2010 |
| Authors: Ashish Revar, Malay Andhariya, Dharmendra Sutariya, Prof. Madhuri Bhavsar |
10.5120/1241-1731
|
Ashish Revar, Malay Andhariya, Dharmendra Sutariya, Prof. Madhuri Bhavsar . Article:Load Balancing in Grid Environment using Machine Learning - Innovative Approach. International Journal of Computer Applications. 8, 10 ( October 2010), 31-34. DOI=10.5120/1241-1731
Abstract
Grid computing creates the illusion of a simple but large and powerful self-managing virtual computer out of a large collection of connected heterogeneous systems sharing various combinations of resources which leads to the problem of load balance. The main goal of load balancing is to provide a distributed, low cost, scheme that balances the load across all the processors. To improve the global throughput of Grid resources, effective and efficient load balancing algorithms are fundamentally important. Focus of this paper is on analyzing Load Balancing requirements in a Grid environment and proposing an algorithm with machine learning concepts to find more efficient algorithm.
References
- http://www.gridcafe.org/, Francois Grey, Matti Heikkurinen, Rosy Mondardini, Robindra Prabhu.
- Ratnesh Kumar Nath, ”Efficient Load Balancing Algorithm in Grid Environment”, Thapar University, Patiala, May 2007.
- Belabbas Yagoubi and Yahya Slimani, ”Dynamic Load Balancing Strategy for Grid Computing”, World Academy of Science, Engineering and Technology 19 2006.
- B. Yagoubi, Y. Slimani, ”Task Load Balancing Strategy for Grid Computing”, Journal of Computer Science 3 (3): 186-194, 2007 ISSN 1546-9239 2007 Science Publications.
- D. Zhang and J. J.P. Tsai, ”Machine Learning Applications in Software Engineering”, World Scientific Inc., 2005.
Index Terms
Keywords