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Cost Evaluation of Virtual Machine Live Migration Through Bandwidth Analysis

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Advances in Big Data and Cloud Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 750))

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Abstract

Live migration permits to transfer constantly running Virtual Machine from source host to destination host. This is an unavoidable process in data centre in various scenarios such as load balancing, server maintenance and power management. Now, live migration performance optimization is an active area of research since performance degradation and energy overhead caused by live migration cannot be neglected in modern data centres; particularly if critical business goals and plans are to be satisfied. This work analyses the effect of proper bandwidth allocation during cost-aware live migration. Here, we design a cost function model based on network bandwidth between live migration process and service based on queuing theory. From experimental analysis, we infer that link bandwidth is a critical parameter in determining VM live migration cost.

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Author information

Authors and Affiliations

  1. Mahatma Gandhi University, Kottayam, Kerala, India

    V. R. Anu

  2. IIITM-K, 17, Trivandrum, Kerala, India

    Elizabeth Sherly

Authors
  1. V. R. Anu
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  2. Elizabeth Sherly
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Correspondence to V. R. Anu .

Editor information

Editors and Affiliations

  1. Department of Computer Sciences Technology, Karunya Institute of Technology & Sciences, Coimbatore, Tamil Nadu, India

    J. Dinesh Peter

  2. Department of Civil and Environmental Engineering, University of Missouri, Columbia, MO, USA

    Amir H. Alavi

  3. School of Computing, Engineering and Mathematics, University of Western Sydney, Sydney, NSW, Australia

    Bahman Javadi

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Anu, V.R., Sherly, E. (2019). Cost Evaluation of Virtual Machine Live Migration Through Bandwidth Analysis. In: Peter, J., Alavi, A., Javadi, B. (eds) Advances in Big Data and Cloud Computing. Advances in Intelligent Systems and Computing, vol 750. Springer, Singapore. https://doi.org/10.1007/978-981-13-1882-5_9

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