Commercial Cloud Computing for Connected Vehicle Applications in Transportation Cyber-Physical Systems
Hsien-Wen Deng, Mizanur Rahman, Mashrur Chowdhury, M Sabbir Salek, and, Mitch Shue

TL;DR
This paper demonstrates that commercial cloud services, particularly serverless architectures, can effectively support connected vehicle applications in transportation cyber-physical systems by ensuring low latency and scalable infrastructure through real-world experiments.
Contribution
It presents a practical implementation and evaluation of a cloud-based TCPS architecture for connected vehicles using AWS, highlighting scalability and cost benefits.
Findings
Cloud-based CV applications meet delay requirements.
Serverless architecture enables automatic scaling.
Real-world experiments validate feasibility.
Abstract
This study focuses on the feasibility of commercial cloud services for connected vehicle (CV) applications in a Transportation Cyber-Physical Systems (TCPS) environment. TCPS implies that CVs, in addition to being connected with each other, communicates with the transportation and computing infrastructure to fulfill application requirements. The motivation of this study is to accelerate commercial cloud-based CV application development by presenting the lessons learned by implementing a CV mobility application using Amazon Web Services (AWS). The feasibility of the cloud-based CV application is assessed at three levels: (i) the development of a cloud-based TCPS architecture, (ii) the deployment of a cloud-based CV application using AWS, and (iii) the evaluation of the cloud-based CV application. We implemented this CV mobility application using a serverless cloud architecture and found…
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Taxonomy
TopicsCloud Computing and Resource Management · IoT and Edge/Fog Computing · Cloud Data Security Solutions
