Application Synchronization Among Multiple MEC Servers in Connected Vehicle Scenarios

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

doi:10.1109/VTCFall.2018.8691039

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 proceeding › Conference article in proceedings › Scientific › peer-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 language	English
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	https://doi.org/10.1109/VTCFall.2018.8691039
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
Volume	2018-August
ISSN	1090-3038

Conference

Conference	88th IEEE Vehicular Technology Conference, VTC-Fall 2018
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

Access to Document

10.1109/VTCFall.2018.8691039

Cite this

@inproceedings{152d93a0f6eb4e75a43aad725b010b7a,

title = "Application Synchronization Among Multiple MEC Servers in Connected Vehicle Scenarios",

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.",

keywords = "Automotive services, edge computing, orchestration, system architecture",

author = "Tiia Ojanper{\"a} and {Van Den Berg}, Hans and Wieger Ijntema and {De Souza Schwartz}, Ramon and Miodrag Djurica",

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language = "English",

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series = "IEEE Vehicular Technology Conference Papers",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

booktitle = "2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)",

address = "United States",

note = "88th IEEE Vehicular Technology Conference, VTC-Fall 2018, VTC-Fall 2018 ; Conference date: 27-08-2018 Through 30-08-2018",

}

Ojanperä, T, Van Den Berg, H, Ijntema, W, De Souza Schwartz, R & Djurica, M 2018, Application Synchronization Among Multiple MEC Servers in Connected Vehicle Scenarios. in 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)., 8691039, IEEE Institute of Electrical and Electronic Engineers, IEEE Vehicular Technology Conference Papers, vol. 2018-August, 88th IEEE Vehicular Technology Conference, VTC-Fall 2018, Chicago, Illinois, United States, 27/08/18. https://doi.org/10.1109/VTCFall.2018.8691039

Application Synchronization Among Multiple MEC Servers in Connected Vehicle Scenarios. / Ojanperä, Tiia; Van Den Berg, Hans; Ijntema, Wieger et al.
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). IEEE Institute of Electrical and Electronic Engineers, 2018. 8691039 (IEEE Vehicular Technology Conference Papers, Vol. 2018-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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N1 - Conference code: 88

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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.

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Ojanperä T, Van Den Berg H, Ijntema W, De Souza Schwartz R, Djurica M. Application Synchronization Among Multiple MEC Servers in Connected Vehicle Scenarios. In 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). IEEE Institute of Electrical and Electronic Engineers. 2018. 8691039. (IEEE Vehicular Technology Conference Papers, Vol. 2018-August). doi: 10.1109/VTCFall.2018.8691039

Application Synchronization Among Multiple MEC Servers in Connected Vehicle Scenarios

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

AUTOPILOT: AUTOmated driving Progressed by Internet Of Things

Cite this

Application Synchronization Among Multiple MEC Servers in Connected Vehicle Scenarios

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

AUTOPILOT: AUTOmated driving Progressed by Internet Of Things

Cite this