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Determining Server Locations in Server Migration Service to Minimize Monetary Penalty of Dynamic Server Migration

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Abstract

In this paper, we propose a new class of service called server migration service (SMS) to augment the existing IaaS (Infrastructure as a Service). SMS allows servers (server-side processes of a network application) to dynamically and automatically migrate as their clients (client-side processes of a network application) change their locations in order to reduce the total monetary penalty that the SMS provider pays to its SMS subscribers when failing to provide them with the guaranteed level of QoS. In this paper, we consider the monetary impact that arises from QoS degradation due to server migration and build an integer programming model to determine when and to which location servers should migrate to minimize the total monetary penalty incurred by the SMS provider. Numerical examples show that SMS achieves up to 96% lower total monetary penalty compared to that without server migration. Numerical examples also show that the integer programming model developed in this paper requires reasonable computation time under realistic parameter settings.

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Notes

  1. The latter is a multiple provider model. In the multiple provider model, the SMS provider is a different entity from the underlying network service provider. In this paper, however, we do not consider the multiple provider model.

  2. JPN (Japan Photonic Network) [30] is a network model created by the Photonic Network Committee of the IEICEJ (Japanese counterpart of the IEEE) and closely resembles an existing nation-wide network operated by a Japanese Telecom Company. This network model includes explicit values of network parameters (e.g., node locations, physical distances of links), which are often proprietary and not disclosed.

  3. The assumption of the negligible packet transmission time is realistic, as the Internet link speed is becoming faster and faster. For instance, with a typical link speed of 10 Gbits/sec in the Internet [31], transmission time of a 12000 bit (1500 byte) packet, a typical packet length [32], becomes 0.0012 ms, much smaller than the propagation delays assumed in this section. Similarly, the assumption of negligible queuing delay is realistic, as it is often reported that a very small buffer (e.g., a buffer for 10-20 packets) is sufficient for a core router to achieve high TCP throughputs [33]. Small buffer yields negligible queuing delay at routers.

  4. See Sect. 3.2 for justification of these assumptions.

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Acknowledgements

This research and development work was supported by the MIC/SCOPE #162108003.

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Authors and Affiliations

  1. The Graduate School of Natural Science and Technology, Okayama University, Tsushimanaka 3–1–1, Kita-ku, Okayama-city, Okayama, Japan

    Yukinobu Fukushima & Tokumi Yokohira

  2. Information Technology Center, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan

    Tutomu Murase

  3. NEC Corporation of America, 2 Maskit Street, 4673302, Herzliya, Israel

    Gen Motoyoshi

  4. University Netgroup Inc., P.O. Box 1288, Fallbrook, CA, USA

    Tatsuya Suda

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  1. Yukinobu Fukushima
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Correspondence to Yukinobu Fukushima.

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Fukushima, Y., Murase, T., Motoyoshi, G. et al. Determining Server Locations in Server Migration Service to Minimize Monetary Penalty of Dynamic Server Migration. J Netw Syst Manage 26, 993–1033 (2018). https://doi.org/10.1007/s10922-018-9451-6

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  • DOI: https://doi.org/10.1007/s10922-018-9451-6

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