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A Discrete Firefly Algorithm for Scheduling Jobs on Computational Grid

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Cuckoo Search and Firefly Algorithm

Part of the book series: Studies in Computational Intelligence ((SCI,volume 516))

Abstract

Computational grid emerged as a large scale distributed system to offer dynamic coordinated resources sharing and high performance computing. Due to the heterogeneity of grid resources scheduling jobs on computational grids is identified as NP-hard problem. This chapter introduces a job scheduling mechanism based on Discrete Firefly Algorithm (DFA) to map the grid jobs to available resources in order to finish the submitted jobs within a minimum makespan time. The proposed scheduling mechanism uses population based candidate solutions rather than single path solution as in traditional scheduling mechanism such as tabu search and hill climbing, which help avoids trapping in local optimum. We used simulation and real workload traces to evaluate the proposed scheduling mechanism. The simulation results of the proposed DFA scheduling mechanism are compared with Genetic Algorithm and Tabu Search scheduling mechanisms. The obtained results demonstrated that, the proposed DFA can avoid trapping in local optimal solutions and it could be efficiently utilized for scheduling jobs on computational grids. Furthermore, the results have shown that DFA outperforms the other scheduling mechanisms in the case of typical and heavy loads.

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Acknowledgments

This research is supported by the Ministry of Higher Education Malaysia (MOHE) and collaboration with Research Management Center (RMC) Universiti Teknologi Malaysia. This paper is financially supported by GUP GRANT (No. Vot: Q.J130000.7128.00H55).

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Authors and Affiliations

  1. Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Adil Yousif, Abdul Hanan Abdullah & Mohammed Bakri Bashir

  2. Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia

    Sulaiman Mohd Nor

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  1. Adil Yousif
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  2. Sulaiman Mohd Nor
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  3. Abdul Hanan Abdullah
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  4. Mohammed Bakri Bashir
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Correspondence to Adil Yousif .

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Editors and Affiliations

  1. School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

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Yousif, A., Nor, S.M., Abdullah, A.H., Bashir, M.B. (2014). A Discrete Firefly Algorithm for Scheduling Jobs on Computational Grid. In: Yang, XS. (eds) Cuckoo Search and Firefly Algorithm. Studies in Computational Intelligence, vol 516. Springer, Cham. https://doi.org/10.1007/978-3-319-02141-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-02141-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02140-9

  • Online ISBN: 978-3-319-02141-6

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