Article Title

Load Balancing in Computational Grids Using Ant Colony Optimization Algorithm

Authors

SOWMYA SURYADEVERA, MITS,Lakshmangarh,Follow
JAISHRI CHOURASIA, MITS,LakshmangarhFollow
SONAM RATHORE, MITS,LakshmangarhFollow
ABDUL JHUMMARWALA, Bisag,GandhinagarFollow

Abstract

Grid computing is the combination of computer resources from multiple administrative domains for a common goal. Load balancing is one of the critical issues that must be considered in managing a grid computing environment. It is complicated due to the distributed and heterogeneous nature of the resources. An Ant Colony Optimization algorithm for load balancing in grid computing is proposed which will determine the best resource to be allocated to the jobs, based on resource capacity and at the same time balance the load of entire resources on grid. The main objective is to achieve high throughput and thus increase the performance in grid environment.

Recommended Citation

SURYADEVERA, SOWMYA; CHOURASIA, JAISHRI; RATHORE, SONAM; and JHUMMARWALA, ABDUL (2014) "Load Balancing in Computational Grids Using Ant Colony Optimization Algorithm," International Journal of Computer and Communication Technology: Vol. 5: Iss. 4, Article 8.
DOI: 10.47893/IJCCT.2014.1255
Available at: https://www.interscience.in/ijcct/vol5/iss4/8

DOI

10.47893/IJCCT.2014.1255