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 contributionAcademicpeer-review

15 Citations (Scopus)


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 2018
Subtitle of host publicationProceedings
Place of PublicationPiscataway, NJ
ISBN (Electronic)978-1-5386-6358-5
ISBN (Print)978-1-5386-6359-2, 978-1-5386-6357-8
Publication statusPublished - 2 Jul 2018
Event88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
Duration: 27 Aug 201830 Aug 2018
Conference number: 88

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252
ISSN (Electronic)2577-2465


Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
Abbreviated titleVTC-Fall
Country/TerritoryUnited States


  • Automotive services
  • Edge computing
  • Orchestration
  • System architecture


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