Article,
Optimization of resource allocation in computational grids
International Journal of Grid Computing & Applications (IJGCA), 06 (02): 37-54 (June 2015)
DOI: 10.5121/ijgca.2015.6204
Abstract
The resource allocation in Grid computing system needs to be scalable, reliable and smart. It should also be adaptable to change its allocation mechanism depending upon the environment and user’s requirements. Therefore, a scalable and optimized approach for resource allocation where the system can adapt itself to the changing environment and the fluctuating resources is essentially needed. In this paper, a Teaching Learning based optimization approach for resource allocation in Computational Grids is proposed. The proposed algorithm is found to outperform the existing ones in terms of execution time and cost. The algorithm is simulated using GRIDSIM and the simulation results are presented.
