Jose Paolo Talusan, Francis Tiausas, Keiichi Yasumoto, Michael Wilbur, Geoffrey Pettet, Abhishek Dubey, Shameek Bhattacharjee
IEEE International Conference on Smart Computing, SMARTCOMP 2019, Washington, DC, USA, June 12-15, 2019 2019
Smart transportation systems require testing at scale with realistic network conditions and failure scenarios. Public blockchain networks introduce delays that make traditional development difficult, while public test networks rely on expensive mining. IFoT provides a distributed middleware approach that enables practical testing of smart transportation systems without these limitations.
This paper presents a testbed platform for evaluating smart transportation systems using the Information Flow of Things (IFoT) middleware. The work develops a distributed processing platform built on the IFoT framework to support testing of smart mobility services in realistic network conditions with emulated communication delays and failures.
The paper demonstrates a testbed implementing smart mobility services using the IFoT middleware and Ethereum blockchain. Results show effective handling of communication delays and network failures through distributed task processing. The testbed successfully emulates large-scale transportation networks with realistic delay characteristics.
@inproceedings{Talusan2019,
author = {Talusan, Jose Paolo and Tiausas, Francis and Yasumoto, Keiichi and Wilbur, Michael and Pettet, Geoffrey and Dubey, Abhishek and Bhattacharjee, Shameek},
booktitle = {IEEE} International Conference on Smart Computing, {SMARTCOMP} 2019, Washington, DC, USA, June 12-15, 2019},
title = {Smart Transportation Delay and Resiliency Testbed Based on Information Flow of Things Middleware},
year = {2019},
pages = {13--18},
abstract = {Edge and Fog computing paradigms are used to process big data generated by the increasing number of IoT devices. These paradigms have enabled cities to become smarter in various aspects via real-time data-driven applications. While these have addressed some flaws of cloud computing some challenges remain particularly in terms of privacy and security. We create a testbed based on a distributed processing platform called the Information flow of Things (IFoT) middleware. We briefly describe a decentralized traffic speed query and routing service implemented on this framework testbed. We configure the testbed to test countermeasure systems that aim to address the security challenges faced by prior paradigms. Using this testbed, we investigate a novel decentralized anomaly detection approach for time-sensitive distributed smart transportation systems.},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/bib/conf/smartcomp/TalusanTYWPDB19},
category = {workshop},
contribution = {colab},
acceptance = {29},
doi = {10.1109/SMARTCOMP.2019.00022},
file = {:Talusan2019-Smart_Transportation_Delay_and_Resiliency_Testbed_Based_on_Information_Flow_of_Things_Middleware.pdf:PDF},
keywords = {smart transportation, testbed, distributed processing, blockchain, IFoT, middleware, delay emulation},
project = {cps-middleware,smart-transit},
tag = {platform,incident,transit},
timestamp = {Wed, 16 Oct 2019 14:14:54 +0200},
url = {https://doi.org/10.1109/SMARTCOMP.2019.00022}
}