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An energy-efficient reliable grid scheduling model using NSGA-II

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Abstract

Job scheduling in computational grid is a complex problem and various heuristics and meta-heuristics have been proposed for the same. These approaches usually optimize specific characteristic parameters while allocating the jobs on the grid resources. Many a times, it is desired to optimize multiple parameters during job scheduling. Non-dominated sorting genetic algorithm (NSGA-II) has been observed to be the best meta-heuristic to solve such multi-objective optimization problem. The proposed work applies NSGA-II for job scheduling in computational grid with three conflicting objectives: maximizing reliability of the system for job allocation, minimizing energy consumption and balancing the load on the system. Performance study of the proposed model is done by simulating it on some real data. The result indicates that the proposed model performs well with multiple objectives.

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Acknowledgments

The authors would like to accord their sincere thanks to the anonymous reviewers for their useful suggestions resulting in the quality improvement of this work.

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Authors and Affiliations

  1. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India

    Achal Kaushik & Deo Prakash Vidyarthi

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  1. Achal Kaushik
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Correspondence to Deo Prakash Vidyarthi.

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Kaushik, A., Vidyarthi, D.P. An energy-efficient reliable grid scheduling model using NSGA-II. Engineering with Computers 32, 355–376 (2016). https://doi.org/10.1007/s00366-015-0419-9

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