Professor, Department of IT,
Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India.
Associate Professor, Department of CSE & IT,
Government College of Technology, Coimbatore, India
Abstract:Grid computing is a computing framework to run different grid enabled applications. This paper proposes a neural network to capture user requirements automatically and to use it for resource selection. It also introduces a Particle Swarm Optimization (PSO) based approach to schedule computational grid jobs. Representations of position and particle velocity in conventional PSO are extended to real vectors. The proposed approach plans to dynamically generate an optimal schedule to finish jobs within a specific minimum time duration. It also uses resources efficiently.
[T. R. Srinivasan, R. Shanmugalakshmi. Optimizing Grid Scheduling with Particle Swarm Optimization. Life Sci J 2013;10(4s):559-563] (ISSN: 1097-8135). http://www.lifesciencesite.com. 85
Keywords: Grid, Resource Selection, Grid Scheduling, Neural Network, Particle Swarm Optimization (PSO).