A Tutorial on Stream-based Monitoring

TL;DR

This paper introduces RTLola, a stream-based runtime monitoring framework for cyber-physical systems, demonstrating its application in autonomous drone monitoring and providing a comprehensive tutorial for users.

Contribution

It offers a detailed tutorial on RTLola, including language features, specification patterns, and integration methods, advancing practical understanding of stream-based monitoring.

Findings

RTLola effectively monitors autonomous systems like unmanned aircraft.

The tutorial demonstrates real-time analysis and system health assessment.

RTLola specifications can be integrated into diverse cyber-physical systems.

Abstract

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.