Home   Research Publications Members Related Software
IndexBrowse   BibliographiesMy selection
 Search: in   (word length ≥ 3)
Publication no #610   Download bibtex file Type :   Html | Bib | Both
Add to my selection
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.

Online links:   Bibtex entry   Plain Text

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.  
    Created: 2019-05-31 14:40:03     Modified: 2019-05-31 14:41:31
Feedback: ABLE Webmaster
Last modified: Sat October 12 2019 16:15:32