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A Survey on Scheduling Algorithms for Parallel and Distributed Systems

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Silicon Photonics & High Performance Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 718))

Abstract

Task scheduling plays a vital role in distributed computing. It enhances the performance of the system as it minimizes the overall execution time and reduces overhead problems like communication delay by allocating suitable task to appropriate processor. Different scheduling techniques are discussed in this paper which are employed for task scheduling. Taxonomy of hierarchical classification is discussed for concurrent system and further several task scheduling algorithms are described on the basis of dependency and approach used such as static or dynamic for low throughput and efficient performance.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Krishna Institute of Engineering and Technology, Ghaziabad, 201206, India

    Rinki Tyagi & Santosh Kumar Gupta

Authors
  1. Rinki Tyagi
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  2. Santosh Kumar Gupta
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Corresponding author

Correspondence to Rinki Tyagi .

Editor information

Editors and Affiliations

  1. Deen Dayal Upadhyaya College, University of Delhi, New Delhi, Delhi, India

    Anurag Mishra

  2. Department of Computer Science and Engineering, Visvesvaraya Technological University, Belgaum, Karnataka, India

    Anirban Basu

  3. Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

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Tyagi, R., Gupta, S.K. (2018). A Survey on Scheduling Algorithms for Parallel and Distributed Systems. In: Mishra, A., Basu, A., Tyagi, V. (eds) Silicon Photonics & High Performance Computing. Advances in Intelligent Systems and Computing, vol 718. Springer, Singapore. https://doi.org/10.1007/978-981-10-7656-5_7

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  • DOI: https://doi.org/10.1007/978-981-10-7656-5_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7655-8

  • Online ISBN: 978-981-10-7656-5

  • eBook Packages: EngineeringEngineering (R0)

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