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RETRACTED ARTICLE: Energy consumption analysis of Virtual Machine migration in cloud using hybrid swarm optimization (ABC–BA)

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This article was retracted on 30 September 2022

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Abstract

A cloud data center consumes more energy for computation and switching servers between modes. Virtual Machine (VM) migration enhances the execution of cloud server farm in terms of energy proficiency, adaptation to internal failure, and accessibility. Cloud suppliers, be that as it may, ought to likewise enhance for amounts like energy consumption and administrations costs and in this manner, trying to have all the Virtual Machines with the least measures of physical equipment machines conceivable. The part of virtualization is critical and its execution is subjected to VM migration and machine allotment. A greater amount of the energy is caught up in the cloud; consequently, the use of various calculations is required for sparing energy and productivity upgradation in the proposed work. In the proposed work, the Naive Bayes classifier with hybrid optimization using Artificial Bee Colony–Bat Algorithm (ABC–BA) was implemented to reduce the energy consumption in VM migration. The proposed method was evaluated in CloudSim and the performances were compared using performance index such as success &failure rate, and energy consumption. It is observed from the implementation results that the proposed method reduces energy consumption compared to other existing methods. From the implementation outcomes of the proposed work, it was understood that the model was able to achieve the minimum energy consumption and failure rate i.e., 1000–1200 kWh, 0.2 with maximum success rate and accuracy of 1 and 97.77%.

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Authors and Affiliations

  1. Department of Computer Applications, Anna University, Regional Campus, Madurai, Madurai, India

    K. Karthikeyan

  2. Department of Computer Science and Engineering, Sahrdaya College of Engineering and Technology, Kodakara, Kerala, India

    R. Sunder

  3. School of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, India

    K. Shankar

  4. Department of Electronics and Instrumentation Engineering, B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India

    S. K. Lakshmanaprabu

  5. School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India

    V. Vijayakumar

  6. CoVIS Lab, University of North Texas, Denton, USA

    Mohamed Elhoseny

  7. University of California, Davis, USA

    Gunasekaran Manogaran

Authors
  1. K. Karthikeyan
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  2. R. Sunder
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  3. K. Shankar
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  4. S. K. Lakshmanaprabu
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  5. V. Vijayakumar
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  6. Mohamed Elhoseny
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  7. Gunasekaran Manogaran
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Corresponding author

Correspondence to V. Vijayakumar.

Additional information

This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s11227-022-04860-2

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Karthikeyan, K., Sunder, R., Shankar, K. et al. RETRACTED ARTICLE: Energy consumption analysis of Virtual Machine migration in cloud using hybrid swarm optimization (ABC–BA). J Supercomput 76, 3374–3390 (2020). https://doi.org/10.1007/s11227-018-2583-3

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  • DOI: https://doi.org/10.1007/s11227-018-2583-3

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