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Proceedings of Fifth International Conference on Soft Computing for Problem Solving pp 165–173Cite as

A Genetic Algorithm Based Scheduling Algorithm for Grid Computing Environments

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 436)

Abstract

A grid computing environment is a parallel and distributed environment in which various computing capabilities are brought together to solve large size computational problems. Task scheduling is a crucial issue for grid computing environments; so it needs to be addressed efficiently to minimize the overall execution time. Directed acyclic graphs (DAGs) can be used as task graphs to be scheduled on grid computing systems. The proposed study presents a genetic algorithm for efficient scheduling of task graphs represented by DAG on grid systems. The proposed algorithm is implemented and evaluated using five real datasets taken from the literature. The result shows that the proposed algorithm outperforms other popular algorithms in a number of scenarios.

Keywords

  • Directed acyclic graph (DAG)
  • Scheduling
  • Genetic algorithm (GA)
  • Makespan

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Authors and Affiliations

  1. Department of Computer Science & Engineering, Ambala College of Engineering and Applied Research, Ambala, 133101, India

    Poonam Panwar &  Shivani Sachdeva

  2. Department of Biotechnology & Engineering, Ambala College of Engineering and Applied Research, Ambala, 133101, India

    Satish Rana

Authors
  1. Poonam Panwar
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  2. Shivani Sachdeva
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  3. Satish Rana
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Corresponding author

Correspondence to Shivani Sachdeva .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Chankyapuri, Rm 327, South Asian Univ, Akbar Bhawan, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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Poonam Panwar, Shivani Sachdeva, Satish Rana (2016). A Genetic Algorithm Based Scheduling Algorithm for Grid Computing Environments. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_13

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  • DOI: https://doi.org/10.1007/978-981-10-0448-3_13

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