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Towards Economical Live Migration in Data Centers

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Economics of Grids, Clouds, Systems, and Services (GECON 2020)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 12441))

Abstract

Live migration of virtual machines (VMs) enables maintenance, load balancing, and power management in data centers. The cost of live migration on several key metrics combined with strict service-level objectives (SLOs), however, typically limits its practical application to situations where the underlying physical host has to undergo maintenance. As a consequence, the potential benefits of live migration with respect to increased resource usage and lower power consumption remain largely untouched. In this paper, we argue that live migration-aware SLOs combined with smart live migration algorithm selection provides an economically viable model for live migration in data centers. Based on a model predicting key parameters of VM live migration, an optimization algorithm selects the live migration technique that is expected to meet client SLOs while at the same time to optimize target metrics given by the data center operator. A comparison with the state-of-the-art shows that the presented guided live migration technique selection achieves significantly fewer SLO violations while, at the same time, minimizing the effect of live migration on the infrastructure.

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Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) funded by the Korean government, in part, by grants NRF-2015K1A3A1A14021288, 2016R1A2B4009193, by the BK21 Plus for Pioneers in Innovative Computing (Dept. of Computer Science and Engineering, SNU, grant 21A20151113068), and by the Promising-Pioneering Researcher Program of Seoul National University in 2015. ICT at Seoul National University provided research facilities for this study.

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Authors and Affiliations

  1. Seoul National University, Seoul, Republic of Korea

    Youngsu Cho, Changyeon Jo, Hyunik Kim & Bernhard Egger

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  1. Youngsu Cho
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  2. Changyeon Jo
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  3. Hyunik Kim
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  4. Bernhard Egger
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Correspondence to Bernhard Egger .

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Editors and Affiliations

  1. School of Computing, University of Leeds, Leeds, UK

    Karim Djemame

  2. Seoul National University, Gwanak-gu, Seoul, Korea (Republic of)

    Jörn Altmann

  3. University of Zaragoza, Zaragoza, Zaragoza, Spain

    José Ángel Bañares

  4. Technion – Israel Institute of Technology, Haifa, Israel

    Orna Agmon Ben-Yehuda

  5. University of Ljubljana, Ljubljana, Slovenia

    Vlado Stankovski

  6. Rennes Bretagne-Atlantique, Inria, Rennes Cedex, France

    Bruno Tuffin

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Cho, Y., Jo, C., Kim, H., Egger, B. (2020). Towards Economical Live Migration in Data Centers. In: Djemame, K., Altmann, J., Bañares, J.Á., Agmon Ben-Yehuda, O., Stankovski, V., Tuffin, B. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2020. Lecture Notes in Computer Science(), vol 12441. Springer, Cham. https://doi.org/10.1007/978-3-030-63058-4_15

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  • DOI: https://doi.org/10.1007/978-3-030-63058-4_15

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