A Tutorial on Stream-based Monitoring
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866917903531507712 |
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| author | Baumeister, Jan Finkbeiner, Bernd Kohn, Florian Scheerer, Frederik |
| author_facet | Baumeister, Jan Finkbeiner, Bernd Kohn, Florian Scheerer, Frederik |
| contents | Stream-based runtime monitoring frameworks are safety assurance tools that check the runtime behavior of a system against a formal specification. This tutorial provides a hands-on introduction to RTLola, a real-time monitoring toolkit for cyber-physical systems and networks. RTLola processes, evaluates, and aggregates streams of input data, such as sensor readings, and provides a real-time analysis in the form of comprehensive statistics and logical assessments of the system's health. RTLola has been applied successfully in monitoring autonomous systems such as unmanned aircraft. The tutorial guides the reader through the development of a stream-based specification for an autonomous drone observing other flying objects in its flight path. Each tutorial section provides an intuitive introduction, highlighting useful language features and specification patterns, and gives a more in-depth explanation of technical details for the advanced reader. Finally, we discuss how runtime monitors generated from RTLola specifications can be integrated into a variety of systems and discuss different monitoring applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_15913 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Tutorial on Stream-based Monitoring Baumeister, Jan Finkbeiner, Bernd Kohn, Florian Scheerer, Frederik Logic in Computer Science Stream-based runtime monitoring frameworks are safety assurance tools that check the runtime behavior of a system against a formal specification. This tutorial provides a hands-on introduction to RTLola, a real-time monitoring toolkit for cyber-physical systems and networks. RTLola processes, evaluates, and aggregates streams of input data, such as sensor readings, and provides a real-time analysis in the form of comprehensive statistics and logical assessments of the system's health. RTLola has been applied successfully in monitoring autonomous systems such as unmanned aircraft. The tutorial guides the reader through the development of a stream-based specification for an autonomous drone observing other flying objects in its flight path. Each tutorial section provides an intuitive introduction, highlighting useful language features and specification patterns, and gives a more in-depth explanation of technical details for the advanced reader. Finally, we discuss how runtime monitors generated from RTLola specifications can be integrated into a variety of systems and discuss different monitoring applications. |
| title | A Tutorial on Stream-based Monitoring |
| topic | Logic in Computer Science |
| url | https://arxiv.org/abs/2501.15913 |