Towards a Simulation Framework for Edge-to-Cloud Orchestration in C-ITS
| Autor: | Bjorn Magne Elnes, Phu H. Nguyen, Asmund Hugo, Karl Svantorp |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
MQTT
0209 industrial biotechnology business.industry Computer science Distributed computing Short paper 020206 networking & telecommunications Cloud computing 02 engineering and technology 020901 industrial engineering & automation Scalability 0202 electrical engineering electronic engineering information engineering Enhanced Data Rates for GSM Evolution Orchestration (computing) business Intelligent transportation system Eclipse |
| Zdroj: | MDM |
| DOI: | 10.1109/mdm48529.2020.00077 |
| Popis: | Cooperative Intelligent Transport Systems (C-ITS) are essential for smart cities. To realise the vision of C-ITS in the European Strategy to implement smart mobility towards Cooperative, Connected and Automated Mobility (CCAM), there must be advanced infrastructures for message exchange between connected and autonomous vehicles (CAVs), road-side units (RSUs), and transport management centres. One of the most challenges to build such infrastructures is to ensure the scalability to support for millions of vehicles on roads at the same time. In this short paper, we aim to discuss the challenge of ensuring the scalability of a C-ITS platform and describe our simulation framework to test its scalability. First, we give a high-level description of a C-ITS platform that is based on Edge-Cloud orchestration for message exchange between CAVs, RSUs, and transportation data centres. Then, we present our simulation framework that is based on Eclipse SUMO and Veins to test the scalability of the C-ITS platform. We have initially worked in two main tasks for the simulation framework: build simulation scenarios and integrate MQTT clients into the simulation tools to test our C-ITS platform. These are two fundamental steps towards a full simulation framework for our C-ITS platform. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|