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Energy-efficient migration techniques for cloud environment: a step toward green computing

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Abstract

The technology, cloud computing, in present days, is vastly used due to the services it provides and the ease with which they can be availed. The enormous development of the Internet technology is due to the advent of the concept of cloud. Along with its benefits, cloud computing brings along itself a detrimental side effect, i.e., carbon emission. This is due to the massive energy consumption in the cloud data centers. Reduction in energy consumption in cloud is thus one of the major challenges among the researchers. This work conducts a thorough study of the various techniques that help in minimization of energy consumption in data centers. It also explores and proposes approaches to reduce the same, eventually making the environment greener. In the proposed work, prediction mechanism has been adopted and implemented on the existing Minimization of Migration (MM) policy for large history data set, followed by dynamic thresholding mechanism in place of static thresholds. Rigorous simulations have been conducted, and the results show reduction in cloud data center energy consumption.

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Acknowledgements

If you’d like to thank anyone, place your comments here and remove the percent signs. This research is supported by the Department of Science and Technology - DST Inspire Fellowship vide Reference No. DST/INSPIRE Fellowship/IF140873 and the Visvesvaraya PhD Scheme of Ministry of Electronics & Information Technology, Govt. of India.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

    Srimoyee Bhattacherjee, Rituparna Das & Sarbani Roy

  2. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Sunirmal Khatua

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  1. Srimoyee Bhattacherjee
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  2. Rituparna Das
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  4. Sarbani Roy
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Correspondence to Sarbani Roy.

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Bhattacherjee, S., Das, R., Khatua, S. et al. Energy-efficient migration techniques for cloud environment: a step toward green computing. J Supercomput 76, 5192–5220 (2020). https://doi.org/10.1007/s11227-019-02801-0

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