Serverless Vehicular Edge Computing for the Internet of Vehicles

Faisal Alam, Adel N. Toosi, Muhammad Aamir Cheema, Claudio Cicconetti, Pablo Serrano, Alesandru Iosup, Zahir Tari, Majid Sarvi

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Rapid growth in the popularity of smart vehicles and increasing demand for vehicle autonomy brings new opportunities for vehicular edge computing (VEC). VEC aims at offloading the time-sensitive computational load of connected vehicles to edge devices, e.g., roadside units. However, VEC offloading raises complex resource management challenges and, thus, remains largely inaccessible to automotive companies. Recently, serverless computing emerged as a convenient approach to the execution of functions without the hassle of infrastructure management. In this work, we propose the idea of serverless VEC as the execution paradigm for Internet of Vehicles applications. Further, we analyze its benefits and drawbacks as well as identify technology gaps. We also propose emulation as a design, evaluation, and experimentation methodology for serverless VEC solutions. Using our emulation toolkit, we validate the feasibility of serverless VEC for real-world traffic scenarios.

Original languageEnglish
Pages (from-to)40-51
Number of pages12
JournalIEEE Internet Computing
Volume27
Issue number4
Early online date1 May 2023
DOIs
Publication statusPublished - Aug 2023

Bibliographical note

Funding Information:
We would like to thank Asama Qureshi for his contribution to the traffic visualizer application. We would also like to acknowledge support through the Australian Research Council's funded projects DP230100081 and FT180100140. This work is also partially supported by the Spanish Ministry of Economic Affairs and Digital Transformation, the European Union-NextGenerationEU through the UNICO 5G ID SORUS project and by the NWO OffSense, EU Horizon Graph-Massivizer and CLOUDSTARS projects.

Publisher Copyright:
© 2023 IEEE.

Funding

We would like to thank Asama Qureshi for his contribution to the traffic visualizer application. We would also like to acknowledge support through the Australian Research Council's funded projects DP230100081 and FT180100140. This work is also partially supported by the Spanish Ministry of Economic Affairs and Digital Transformation, the European Union-NextGenerationEU through the UNICO 5G ID SORUS project and by the NWO OffSense, EU Horizon Graph-Massivizer and CLOUDSTARS projects.

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