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International Conference on Advances in Computing and Data Sciences

ICACDS 2019: Advances in Computing and Data Sciences pp 244–253Cite as

An Enhanced Genetic Virtual Machine Load Balancing Algorithm for Data Center

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1045))

Abstract

Data centers with cloud computing platform host several resources using numerous virtual machines. Such situations may cause the degradation of performance and violations of service level agreement. These challenges are addressed by providing an efficient load balancing mechanism for data centers, and also the workload must be distributed dynamically between the nodes. In this paper, hybrid meta-heuristic genetic algorithm based load balancing technique using active virtual has been proposed and simulated by Cloud Analyst. Simulation results of this hybrid meta heuristic approach found to be encouraging. Obtained results of the proposed algorithm are compared and analyzed with existing traditional strategy and it outperformed which makes it suitable for the deployment over the data centers.

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Author information

Authors and Affiliations

  1. School of Computer and Information Science, MVN University Palwal, Aurangabad, 121105, Haryana, India

    Mala Yadav & Jay Shankar Prasad

Authors
  1. Mala Yadav
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  2. Jay Shankar Prasad
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Corresponding authors

Correspondence to Mala Yadav or Jay Shankar Prasad .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Computer Science and Engineering, Jaypee Institute of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

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

    Vipin Tyagi

  4. ÚTIA AV ČR, Institute of Information Theory and Automation, Prague 8, Praha, Czech Republic

    Jan Flusser

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  6. CSE Department, Inderprastha Engineering College, Ghaziabad, Uttar Pradesh, India

    Rekha Kashyap

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© 2019 Springer Nature Singapore Pte Ltd.

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Yadav, M., Prasad, J.S. (2019). An Enhanced Genetic Virtual Machine Load Balancing Algorithm for Data Center. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-13-9939-8_22

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  • DOI: https://doi.org/10.1007/978-981-13-9939-8_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9938-1

  • Online ISBN: 978-981-13-9939-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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