Projects per year
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 language | English |
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Title of host publication | 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Number of pages | 5 |
ISBN (Electronic) | 978-1-5386-6358-5, 978-1-5386-6357-8 |
ISBN (Print) | 978-1-5386-6359-2 |
DOIs | |
Publication status | Published - 2018 |
MoE publication type | A4 Article in a conference publication |
Event | 88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States Duration: 27 Aug 2018 → 30 Aug 2018 Conference number: 88 |
Publication series
Series | IEEE Vehicular Technology Conference Papers |
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Volume | 2018-August |
ISSN | 1090-3038 |
Conference
Conference | 88th IEEE Vehicular Technology Conference, VTC-Fall 2018 |
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Abbreviated title | VTC-Fall 2018 |
Country/Territory | United States |
City | Chicago |
Period | 27/08/18 → 30/08/18 |
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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- 1 Finished
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AUTOPILOT: AUTOmated driving Progressed by Internet Of Things
Scholliers, J. (Manager)
1/01/17 → 29/02/20
Project: EU project