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Exploring Intelligent Service Migration in Vehicular Networks

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Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom 2018)

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Abstract

Mobile edge clouds have great potential to address the challenges in vehicular networks by transferring storage and computing functions to the cloud. This brings many advantages of the cloud closer to the mobile user, by installing small cloud infrastructures at the network edge. However, it is still a challenge to efficiently utilize heterogeneous communication and edge computing architectures. In this paper, we investigate the impact of live service migration within a Vehicular Ad-hoc Network environment by making use of the results collected from a real experimental test-bed. A new proactive service migration model which considers both the mobility of the user and the service migration time for different services is introduced. Results collected from a real experimental test-bed of connected vehicles show that there is a need to explore proactive service migration based on the mobility of users. This can result in better resource usage and better Quality of Service for the mobile user. Additionally, a study on the performance of the transport protocol and its impact in the context of live service migration for highly mobile environments is presented with results in terms of latency, bandwidth, and burst and their potential effect on the time it takes to migrate services.

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Authors and Affiliations

  1. Faculty of Science and Technology, Middlesex University, London, NW4 4BT, UK

    Onyekachukwu A. Ezenwigbo, Vishnu Vardhan Paranthaman, Glenford Mapp & Ramona Trestian

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  1. Onyekachukwu A. Ezenwigbo
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  2. Vishnu Vardhan Paranthaman
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  3. Glenford Mapp
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  4. Ramona Trestian
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Corresponding author

Correspondence to Onyekachukwu A. Ezenwigbo .

Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. Hangzhou Dianzi University, Hangzhou, Zhejiang, China

    Yuyu Yin

  3. Shanghai Second Polytechnic University, Shanghai, China

    Xiaoxian Yang

  4. Shanghai University, Shanghai, China

    Huaikou Miao

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Ezenwigbo, O.A., Paranthaman, V.V., Mapp, G., Trestian, R. (2019). Exploring Intelligent Service Migration in Vehicular Networks. In: Gao, H., Yin, Y., Yang, X., Miao, H. (eds) Testbeds and Research Infrastructures for the Development of Networks and Communities. TridentCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-030-12971-2_3

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  • DOI: https://doi.org/10.1007/978-3-030-12971-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12970-5

  • Online ISBN: 978-3-030-12971-2

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