Cost-optimal V2X service placement in distributed cloud/Edge environment

Abdallah Moubayed; Abdallah Shami; Parisa Heidari; Adel Larabi; Richard Brunner

doi:10.1109/WiMob50308.2020.9253437

Cost-optimal V2X service placement in distributed cloud/Edge environment

Abdallah Moubayed, Abdallah Shami, Parisa Heidari, Adel Larabi, Richard Brunner

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

Deploying V2X services has become a challenging task. This is mainly due to the fact that such services have strict latency requirements. To meet these requirements, one potential solution is adopting mobile edge computing (MEC). However, this presents new challenges including how to find a cost efficient placement that meets other requirements such as latency. In this work, the problem of cost-optimal V2X service placement (CO-VSP) in a distributed cloud/edge environment is formulated. Additionally, a cost-focused delay-aware V2X service placement (DA-VSP) heuristic algorithm is proposed. Simulation results show that both CO-VSP model and DA-VSP algorithm guarantee the QoS requirements of all such services and illustrates the trade-off between latency and deployment cost.

Original language	English
Title of host publication	2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728197227
DOIs	https://doi.org/10.1109/WiMob50308.2020.9253437
State	Published - 12 Oct 2020
Externally published	Yes
Event	16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020 - Virtual, Thessaloniki, Greece Duration: 12 Oct 2020 → 14 Oct 2020

Publication series

Name	International Conference on Wireless and Mobile Computing, Networking and Communications
Volume	2020-October
ISSN (Print)	2161-9646
ISSN (Electronic)	2161-9654

Conference

Conference	16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020
Country/Territory	Greece
City	Virtual, Thessaloniki
Period	12/10/20 → 14/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Cloud Computing
Intelligent Transportation Systems (ITS)
Multi-Access Edge Computing (MEC)
V2X Service Placement
V2X Services

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Software

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/WiMob50308.2020.9253437

Cite this

Moubayed, A., Shami, A., Heidari, P., Larabi, A., & Brunner, R. (2020). Cost-optimal V2X service placement in distributed cloud/Edge environment. In 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020 Article 9253437 (International Conference on Wireless and Mobile Computing, Networking and Communications; Vol. 2020-October). IEEE Computer Society. https://doi.org/10.1109/WiMob50308.2020.9253437

Moubayed, Abdallah ; Shami, Abdallah ; Heidari, Parisa et al. / Cost-optimal V2X service placement in distributed cloud/Edge environment. 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020. IEEE Computer Society, 2020. (International Conference on Wireless and Mobile Computing, Networking and Communications).

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abstract = "Deploying V2X services has become a challenging task. This is mainly due to the fact that such services have strict latency requirements. To meet these requirements, one potential solution is adopting mobile edge computing (MEC). However, this presents new challenges including how to find a cost efficient placement that meets other requirements such as latency. In this work, the problem of cost-optimal V2X service placement (CO-VSP) in a distributed cloud/edge environment is formulated. Additionally, a cost-focused delay-aware V2X service placement (DA-VSP) heuristic algorithm is proposed. Simulation results show that both CO-VSP model and DA-VSP algorithm guarantee the QoS requirements of all such services and illustrates the trade-off between latency and deployment cost.",

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doi = "10.1109/WiMob50308.2020.9253437",

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Moubayed, A, Shami, A, Heidari, P, Larabi, A & Brunner, R 2020, Cost-optimal V2X service placement in distributed cloud/Edge environment. in 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020., 9253437, International Conference on Wireless and Mobile Computing, Networking and Communications, vol. 2020-October, IEEE Computer Society, 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020, Virtual, Thessaloniki, Greece, 12/10/20. https://doi.org/10.1109/WiMob50308.2020.9253437

Cost-optimal V2X service placement in distributed cloud/Edge environment. / Moubayed, Abdallah; Shami, Abdallah; Heidari, Parisa et al.
2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020. IEEE Computer Society, 2020. 9253437 (International Conference on Wireless and Mobile Computing, Networking and Communications; Vol. 2020-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Cost-optimal V2X service placement in distributed cloud/Edge environment

AU - Moubayed, Abdallah

AU - Shami, Abdallah

AU - Heidari, Parisa

AU - Larabi, Adel

AU - Brunner, Richard

PY - 2020/10/12

Y1 - 2020/10/12

N2 - Deploying V2X services has become a challenging task. This is mainly due to the fact that such services have strict latency requirements. To meet these requirements, one potential solution is adopting mobile edge computing (MEC). However, this presents new challenges including how to find a cost efficient placement that meets other requirements such as latency. In this work, the problem of cost-optimal V2X service placement (CO-VSP) in a distributed cloud/edge environment is formulated. Additionally, a cost-focused delay-aware V2X service placement (DA-VSP) heuristic algorithm is proposed. Simulation results show that both CO-VSP model and DA-VSP algorithm guarantee the QoS requirements of all such services and illustrates the trade-off between latency and deployment cost.

AB - Deploying V2X services has become a challenging task. This is mainly due to the fact that such services have strict latency requirements. To meet these requirements, one potential solution is adopting mobile edge computing (MEC). However, this presents new challenges including how to find a cost efficient placement that meets other requirements such as latency. In this work, the problem of cost-optimal V2X service placement (CO-VSP) in a distributed cloud/edge environment is formulated. Additionally, a cost-focused delay-aware V2X service placement (DA-VSP) heuristic algorithm is proposed. Simulation results show that both CO-VSP model and DA-VSP algorithm guarantee the QoS requirements of all such services and illustrates the trade-off between latency and deployment cost.

KW - Cloud Computing

KW - Intelligent Transportation Systems (ITS)

KW - Multi-Access Edge Computing (MEC)

KW - V2X Service Placement

KW - V2X Services

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M3 - Conference contribution

AN - SCOPUS:85097305575

T3 - International Conference on Wireless and Mobile Computing, Networking and Communications

BT - 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020

PB - IEEE Computer Society

T2 - 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020

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ER -

Moubayed A, Shami A, Heidari P, Larabi A, Brunner R. Cost-optimal V2X service placement in distributed cloud/Edge environment. In 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2020. IEEE Computer Society. 2020. 9253437. (International Conference on Wireless and Mobile Computing, Networking and Communications). doi: 10.1109/WiMob50308.2020.9253437

Cost-optimal V2X service placement in distributed cloud/Edge environment

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this