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Kaladevi A.C.,Salem College | Srinath M.V.,Mahendra Engineering College Thiruchengode | Prabhakar A.,Salem College
2013 International Conference on Computer Communication and Informatics, ICCCI 2013 | Year: 2013

Efficient utilization of resources is a vital factor for any environment. The grid environment is dynamic and it allows the clusters to move around freely. Grid acts as a supercomputer to the users by handling voluminous data. So proper allocation of the available resources is important. Hence resource discovery and scheduling of jobs is a challenging area in grid. This paper presents a new approach for scheduling jobs in grid using Bee Colony algorithm and the discovered resources are advancely reserved for future. Bee Colony is a recently popular heuristic algorithm used for optimization. Grid consists of many clusters which contains the resources. Clusters are formed using K-means algorithm. K-means is a partitioning method for cluster formation. The results shows that performance of resource discovery is greatly improved using this algorithm and total throughput is increased with advance reservation of resources. © 2013 IEEE. Source

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