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Optimizing Job Scheduling in Federated Grid System

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Innovations in Computer Science and Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 8))

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Abstract

Parallel computing is a type of computation in which jobs are executed by the parallel servers. Jobs are further distributed into number of tasks by checking the availability of server. Federated Grid System is a system consists of number of heterogenous clusters which are associated with number of servers. Comparison with existing work on the basis of parameters such as makspan, flow time and energy. The time taken by a single job to accomplish its task is flow time and the time taken by all the jobs to accomplish its task is the makespan of that jobs. DVFS levels are considered in a system to reduce the power consumption during the execution of parallel jobs. In our proposed system we have used DVFS based genetic algorithm so that the job acquired by parallel processors provide optimal results.

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Authors and Affiliations

  1. Department of Computer Engineering, Guru Nanak Dev University, Amritsar, India

    Akshima Aggarwal & Amit Chhabra

Authors
  1. Akshima Aggarwal
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  2. Amit Chhabra
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Corresponding author

Correspondence to Akshima Aggarwal .

Editor information

Editors and Affiliations

  1. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    H. S. Saini

  2. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    Rishi Sayal

  3. Guru Nanak Institutions, Ibrahimpatnam, Telangana, India

    Sandeep Singh Rawat

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Aggarwal, A., Chhabra, A. (2017). Optimizing Job Scheduling in Federated Grid System. In: Saini, H., Sayal, R., Rawat, S. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 8. Springer, Singapore. https://doi.org/10.1007/978-981-10-3818-1_11

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  • DOI: https://doi.org/10.1007/978-981-10-3818-1_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3817-4

  • Online ISBN: 978-981-10-3818-1

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