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Improvised Bat Algorithm for Load Balancing-Based Task Scheduling

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Progress in Intelligent Computing Techniques: Theory, Practice, and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 518))

Abstract

The development of computing system has always focused on performance improvements driven by the demand of applications by customers, scientific and business domain. Cloud computing has emanated as a new trend as well as required domain for the efficient usage of computing systems. As the applications operating in cloud environments are becoming popular, the load is also rising on the servers and the traffic is increasing rapidly. In this paper, a new metaheuristic algorithm has been discussed known as improvised Bat algorithm and the case study of it is explained with proper example. The improvised Bat algorithm works on Min-Min, Max-Min and Alpha-Beta pruning algorithm for population generation and then uses the Bat algorithm for determining the sequence of execution of tasks to keep it minimum.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, Jharkhand, India

    Bibhav Raj, Pratyush Ranjan, Naela Rizvi, Prashant Pranav & Sanchita Paul

Authors
  1. Bibhav Raj
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  2. Pratyush Ranjan
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  3. Naela Rizvi
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  4. Prashant Pranav
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  5. Sanchita Paul
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Corresponding author

Correspondence to Bibhav Raj .

Editor information

Editors and Affiliations

  1. National Institute of Technology, Dept. of Computer Science & Engineering National Institute of Technology, Rourkela, Odisha, India

    Pankaj Kumar Sa

  2. National Institute of Technology, Dept. of Computer Science & Engineering National Institute of Technology, Rourkela, Odisha, India

    Manmath Narayan Sahoo

  3. Universiti Malaysia Perlis (UniMAP), School of Mecahtronics Engineering Universiti Malaysia Perlis (UniMAP), Arau, Perlis, Malaysia

    M. Murugappan

  4. The University of Exeter, Lecturer The University of Exeter, Exeter, Devon, United Kingdom

    Yulei Wu

  5. National Institute of Technology, Dept. of Computer Science & Engineering National Institute of Technology, Rourkela, Odisha, India

    Banshidhar Majhi

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© 2018 Springer Nature Singapore Pte Ltd.

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Raj, B., Ranjan, P., Rizvi, N., Pranav, P., Paul, S. (2018). Improvised Bat Algorithm for Load Balancing-Based Task Scheduling. In: Sa, P., Sahoo, M., Murugappan, M., Wu, Y., Majhi, B. (eds) Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Advances in Intelligent Systems and Computing, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-10-3373-5_52

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  • DOI: https://doi.org/10.1007/978-981-10-3373-5_52

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3372-8

  • Online ISBN: 978-981-10-3373-5

  • eBook Packages: EngineeringEngineering (R0)

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