Application Synchronization Among Multiple MEC Servers in Connected Vehicle Scenarios

Tiia Ojanperä, Hans Van Den Berg, Wieger Ijntema, Ramon De Souza Schwartz, Miodrag Djurica

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    16 Citations (Scopus)

    Abstract

    Multi-access Edge Computing (MEC) is an emerging technology aimed to improve the communication latency and scalability e.g. of cloud-based connected vehicle applications and services. This is accomplished by bringing services closer to the end users, that is, to the network edge. In a high-mobility scenario, such as one involving vehicles, there will be a need for handovers between different MEC servers in order to maintain the required communication latency. Part of the application data may also be relevant to multiple MEC servers, covering overlapping geographical areas or being hosted by different network operators. This paper focuses on these situations and studies the problem of maintaining service continuity and synchronization of relevant data among multiple MEC servers to support vehicular applications. The analysis is conducted in the context of two example applications with different requirements, namely platoon management and shared world model, with promising results regarding their suitability for future implementation.

    Original languageEnglish
    Title of host publication2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Number of pages5
    ISBN (Electronic)978-1-5386-6358-5, 978-1-5386-6357-8
    ISBN (Print)978-1-5386-6359-2
    DOIs
    Publication statusPublished - 2018
    MoE publication typeA4 Article in a conference publication
    Event88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
    Duration: 27 Aug 201830 Aug 2018
    Conference number: 88

    Publication series

    SeriesIEEE Vehicular Technology Conference Papers
    Volume2018-August
    ISSN1090-3038

    Conference

    Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
    Abbreviated titleVTC-Fall 2018
    Country/TerritoryUnited States
    CityChicago
    Period27/08/1830/08/18

    Funding

    The work was conducted in the AUTOPILOT project and in cooperation with TNO Automotive Helmond. AUTOPILOT has received funding from the European Union’s H2020 research and innovation programme under grant agreement No 731993. The work was supported also by the Challenge Finland 5G-SAFE project, partially funded by Business Finland. The authors thank for the support and collaboration.

    Keywords

    • Automotive services
    • edge computing
    • orchestration
    • system architecture

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