Model-Based Monitoring for IoTs Smart Cities Applications
Matteo Orr\`u, Marco Mobilio, Anas Shatnawi, Oliviero Riganelli,, Alessandro Tundo, Leonardo Mariani
TL;DR
This paper discusses model-based monitoring techniques tailored for the complex, heterogeneous IoT systems in smart city applications, addressing the challenges of managing numerous small, integrated systems.
Contribution
It introduces a novel model-based monitoring approach specifically designed for the diverse and interconnected IoT systems in smart cities.
Findings
Enhanced detection of system anomalies
Improved integration of heterogeneous IoT devices
Scalable monitoring framework for smart city applications
Abstract
Smart Cities are future urban aggregations, where a multitude of heterogeneous systems and IoT devices interact to provide a safer, more efficient, and greener environment. The vision of smart cities is adapting accordingly to the evolution of software and IoT based services. The current trend is not to have a big comprehensive system, but a plethora of small, well integrated systems that interact one with each other. Monitoring these kinds of systems is challenging for a number of reasons.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSoftware System Performance and Reliability · Advanced Software Engineering Methodologies · Scientific Computing and Data Management