Implementing Troubleshooting with Batch Repair
DOI:
https://doi.org/10.1609/aaai.v30i1.10075Keywords:
Automated troubleshooting, Automated diagnosisAbstract
Recent work has raised the challenge of efficient automated troubleshooting in domains where repairing a set of components in a single repair action is cheaper than repairing each of them separately. This corresponds to cases where there is a non-negligible overhead to initiating a repair action and to testing the system after a repair action. In this work we propose several algorithms for choosing which batch of components to repair, so as to minimize the overall repair costs. Experimentally, we show the benefit of these algorithms over repairing components one at a time.
Downloads
Published
2016-02-21
How to Cite
Stern, R., Kalech, M., & Shinitzky, H. (2016). Implementing Troubleshooting with Batch Repair. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.10075
Issue
Section
Technical Papers: Heuristic Search and Optimization