ICTACT Journal on Soft Computing

P. Mathiyalagan ¹, S. N. Sivanandam ², K. S. Saranya ³

Affiliations
1 Department of Computer Science and Engineering, Sri Ramakrishna Engineering College, IN
2 Department of Computer Science and Engineering, Karpagam College of Engineering, IN
3 PSG College of Technology, IN

Abstract

As grid is a heterogeneous environment, finding an optimal schedule for the job is always a complex task. In this paper, a hybridization technique using intelligent water drops and Ant colony optimization which are nature-inspired swarm intelligence approaches are used to find the best resource for the job. Intelligent water drops involves in finding out all matching resources for the job requirements and the routing information (optimal path) to reach those resources. Ant Colony optimization chooses the best resource among all matching resources for the job. The objective of this approach is to converge to the optimal schedule faster, minimize the make span of the job, improve load balancing of resources and efficient utilization of available resources.

Keywords

Grid Computing, Grid Scheduling, Ant Colony Optimization, Intelligent Water Drops, Pheromone.

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