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 |
|---|---|
| Title of host publication | 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) |
| Publisher | Institute of Electrical and Electronic Engineers IEEE |
| 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
| Name | IEEE Vehicular Technology Conference |
|---|---|
| Volume | 2018-August |
| ISSN (Print) | 1090-3038 |
| ISSN (Electronic) | 2577-2465 |
Conference
| Conference | 88th IEEE Vehicular Technology Conference, VTC-Fall 2018 |
|---|---|
| Abbreviated title | VTC-Fall 2018 |
| Country | United States |
| City | Chicago |
| Period | 27/08/18 → 30/08/18 |
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Keywords
- Automotive services
- edge computing
- orchestration
- system architecture
Cite this
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Application Synchronization Among Multiple MEC Servers in Connected Vehicle Scenarios. / Ojanpera, Tiia; Van Den Berg, Hans; Ijntema, Wieger; De Souza Schwartz, Ramon; Djurica, Miodrag.
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). Institute of Electrical and Electronic Engineers IEEE, 2018. 8691039 (IEEE Vehicular Technology Conference, Vol. 2018-August).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Application Synchronization Among Multiple MEC Servers in Connected Vehicle Scenarios
AU - Ojanpera, Tiia
AU - Van Den Berg, Hans
AU - Ijntema, Wieger
AU - De Souza Schwartz, Ramon
AU - Djurica, Miodrag
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Automotive services
KW - edge computing
KW - orchestration
KW - system architecture
UR - http://www.scopus.com/inward/record.url?scp=85064945484&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2018.8691039
DO - 10.1109/VTCFall.2018.8691039
M3 - Conference article in proceedings
SN - 978-1-5386-6359-2
T3 - IEEE Vehicular Technology Conference
BT - 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
PB - Institute of Electrical and Electronic Engineers IEEE
ER -