Implementing Troubleshooting with Batch Repair

Authors

  • Roni Stern Ben Gurion University of the Negev
  • Meir Kalech Ben Gurion University of the Negev
  • Hilla Shinitzky Ben Gurion University of the Negev

DOI:

https://doi.org/10.1609/aaai.v30i1.10075

Keywords:

Automated troubleshooting, Automated diagnosis

Abstract

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.

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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