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In the area of Computer Science, Parallel job scheduling is an important field of research. Finding a best suitable processor on the high performance or cluster computing for user submitted jobs plays animportant role in measuring system performance. A new scheduling technique called communication aware scheduling is devised and is capable of handling serial jobs, parallel jobs, mixed jobs and dynamic jobs.This work focuses the comparison of communication aware scheduling with the available parallel job scheduling techniques and the experimental results show that communication aware scheduling performs better when compared to the available parallel job scheduling techniques

Efficient Scheduling Strategy Using Communication Aware Scheduling for Parallel Jobs in Clusters