@inproceedings{334137cbb1d4465b91fe3dacce237146,
title = "Towards Modeling Monitoring of Smart Traffic Services in a Large-scale Distributed System",
abstract = "Smart traffic solutions have become an important component of today{\textquoteright}s cities, due to their aim of improving the quality of the life of inhabitants and reducing the time spent in transportation. They are deployed across large distributed systems and require a robust infrastructure. Their complex structure has been addressed numerous times in practice, but rarely in a formal manner. We propose in this paper a formal modeling approach for monitoring traffic systems and identifying possible failures of traffic sensors. Ensuring a safe and robust deployment and execution of services implies having a clear view on the system status, which is analysed by the monitoring framework. Our work focuses on availability aspects and makes use of the Abstract State Machines modeling technique for specifying the solution. The framework is defined as an Abstract State Machine agent and simulated in the ASMETA tool.",
author = "Andreea Buga and Sorana-Tania Nemes",
year = "2017",
month = jun,
doi = "10.5220/0006303704550462",
language = "English",
isbn = "978-989-758-243-1",
series = "Proceedings of the 7th International Conference on Cloud Computing and Services Science",
publisher = "SciTePress",
pages = "455--462",
editor = "Donald Ferguson and Munoz, \{Victor Mendez\} and Jorge Cardoso and Jorge Cardoso and Markus Helfert and Claus Pahl",
booktitle = "CLOSER 2017 - Proceedings of the 7th International Conference on Cloud Computing and Services Science, Porto, Portugal, April 24-26, 2017.",
}