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Scheduling framework with resource level load balance using agents in grid computing environments

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4 Author(s)
R. Venkatesan ; Department of Computer Science and Engineering, Karunya University, Coimbatore-64114, T.N. India ; K. Ramalakshmi ; Arati Patro ; K. Thanushkodi

Aim of the paper is to correlate diverse load-balancing techniques by determining strengths and weaknesses in the considered approaches and thereby propose a novel approach to balance workloads in grids. It presents a comparative study of the implementation and efficiency of various parallel concepts that are common to one or more of the considered techniques. The proposed architecture employs a pattern based technique to determine the type of load which is crucial in bring about load balance and also incorporates a trust agent to indicate the efficiency of the resources available.

Published in:

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Date of Conference:

27-29 May 2011