I Co - Scheduling in Lambda Grid Systems by using of Ant Colony Optimization

Grid networks provide users with a transparent way to access computational and storage resources. The creation of high performance Communication capabilities in multiple organizations and their interconnection in to a high speed fiber communications mesh have been described as Lambda Grid. We propose a modified ACO-based algorithm which can provided on-demand and dynamically light paths on a grid system. Indeed, the proposed algorithm can schedule jobs by discovering processing and network resources on the grid, assigning the job to a specific system and executing the job. We also propose a coscheduling lambda grid system for job routing in optical grid networks, based on the concept of ant colony optimization, which studies the behavior of ants for gathering food and the routing of packets inside a network. Simulated results show an increased performance of our algorithms over more classical co-scheduling protocols, even though this is accompanied by a slight increase in