Random Articles
Reseach Article
Improve Performance of Load Balancing using Artificial Bee Colony in Grid Computing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 86 - Number 14 |
| Year of Publication: 2014 |
| Authors: Deepika Nee Miku, Preeti Gulia |
10.5120/15050-3095
|
Deepika Nee Miku, Preeti Gulia . Improve Performance of Load Balancing using Artificial Bee Colony in Grid Computing. International Journal of Computer Applications. 86, 14 ( January 2014), 1-5. DOI=10.5120/15050-3095
Abstract
Grid computing is a novel approach which solves the load balancing problems in scientific, engineering and research area. Load Balancing is a technique that can be used to improve resource utilization, to reduce MAKESPAN and to minimize number of failures. In grid environment, different algorithm for resources and data distribution is used to increase the performance and efficiency of load balancing. In grid environment Static threshold and PSO are used for load balancing. Static (fixed) threshold i. e. 3 is used for data transfer from source node to server node. Then, using PSO for data transferring that is better than, static threshold. Artificial Bee Colony Algorithm (ABC) is an optimization algorithm based on the intelligent foraging behavior of honey bee swarm. In this paper, propose a new load balancing algorithm using Artificial Bee Colony(ABC) for obtaining minimum makespan and less number of failure then, obtained results are presented and compared with static threshold and PSO.
References
- Sowmya Suryadevevra, Jaishri Chourasia, Sonam Rathore, Abdul Jhummarwala, "Load Balancing in Computational Grids Using Ant Colony Optimization Algorithm", presented at International Journal of Computer & Communication Technology (IJCCT) ISSN (ONLINE): 2231 - 0371 ISSN (PRINT): 0975 –7449 Vol-3, Iss-3, 2012.
- T. Kokilavani, Dr. D. I. George Amalarethinam, "Load Balanced Min-Min Algorithm for Static Meta-Task Scheduling in Grid Computing", International Journal of Computer Applications (0975 – 8887) Volume 20– No. 2, April 2011
- Manish Gupta, Govind Sharma, " An Efficient Modified Artificial Bee Colony Algorithm for Job Scheduling Problem" ,International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-1, Issue-6, January 2012
- C. Kalpana, U. Karthick Kumar, R. Gogulan, "Max-Min Particle Swarm Optimization Algorithms with Load Balancing for Distributed Task Scheduling on the Grid Environment", IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 3, No 1, May 2012.
- Lei Zhang, Yuehui Chen, Runyuan Sun, Shan Jing and Bo Yang, "A Task Scheduling Algorithm Based on PSO for Grid Computing" , International Journal of Computational Intelligence Research. ISSN 0973-1873 Vol. 4, No. 1 , pp. 37–43,2008.
- Mr. P. Mathiyalagan, U. R. Dhepthie, Dr. S. N. Sivanandam,"Grid Scheduling using Enhanced PSO Algorithm", P. Mathiyalagan et al. / (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 02, 2010, 140-145.
- T. Kokilavani, Dr. D. I. George Amalarethinam, "Memory Constrained Ant Colony System For Task Scheduling In Grid Computing", International Journal of Grid Computing & Applications (IJGCA) Vol. 3, No. 3, September 2012.
- Bahriye Akay, Dervis Karaboga," A modified Artificial Bee Colony algorithm for real-parameter optimization", Inform. Sci. (2010), doi:10. 1016/j. ins. 2010. 07. 015. Elsevier Inc.
Index Terms
Keywords