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DARTSim: An Exemplar for Evaluation and Comparison of Self-Adaptation Approaches for Smart Cyber-Physical Systems

Gabriel A. Moreno, Cody Kinneer, Ashutosh Pandey and David Garlan.


In Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Montreal, Canada, 25-26 May 2019. Winner of the Best Artifact Award.

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Abstract
Motivated by the need for cyber-physical systems (CPS) to perform in dynamic and uncertain environments, smart CPS (sCPS) utilize self-adaptive capabilities to autonomously manage uncertainties at the intersection of the cyber and physical worlds. In this context, self-adaptation approaches face particular challenges, including (i) environment monitoring that is subject to sensing errors; (ii) adaptation actions that take time, sometimes due to physical movement; (iii) dire consequences for not adapting in a timely manner; and (iv) incomparable objectives that cannot be conflated into a single utility metric (e.g., avoiding an accident vs. providing good service). To enable researchers to evaluate and compare self-adaptation approaches aiming to address these unique challenges of sCPS, we introduce the DARTSim exemplar. DARTSim implements a high-level simulation of a team of unmanned air vehicles (UAVs) performing a reconnaissance mission in a hostile and unknown environment. Designed to be easily used by researchers, DARTSim provides a TCP-based interface for easy integration with external adaptation managers, documentation, and a fast simulation capability.

Keywords: Self-adaptation.  
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