A Novel OMNeT++-based Simulation Tool for Vehicular Cloud Computing in ETSI MEC-compliant 5G Environments

Autor: Feraudo, Angelo, Calvio, Alessandro, Bellavista, Paolo
Rok vydání: 2024
Předmět:
Zdroj: Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH (2023); SciTePress, pages 448-455
Druh dokumentu: Working Paper
DOI: 10.5220/0012140900003546
Popis: Vehicular cloud computing is gaining popularity thanks to the rapid advancements in next generation wireless communication networks. Similarly, Edge Computing, along with its standard proposals such as European Telecommunications Standards Institute (ETSI) Multi-access Edge Computing (MEC), will play a vital role in these scenarios, by enabling the execution of cloud-based services at the edge of the network. Together, these solutions have the potential to create real micro-datacenters at the network edge, favoring several benefits like minimal latency, real-time data processing, and data locality. However, the research community has not yet the opportunity to use integrated simulation frameworks for the easy testing of applications that exploit both the vehicular cloud paradigm and MEC-compliant 5G deployment environments. In this paper, we present our simulation tool as a platform for researchers and engineers to design, test, and enhance applications utilizing the concepts of vehicular and edge cloud. Our platform significantly extends OMNet++ and Simu5G, and implements our ETSI MEC-compliant architecture that leverages resources provided by far-edge nodes. In addition, the paper analyzes and reports performance results for our simulation platform, as well as provides a use case where our simulator is used to support the design, test, and validation of an algorithm to distribute MEC application components on vehicular cloud resources.
Databáze: arXiv