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.
| Original language | English |
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| Title of host publication | 30th AAAI Conference on Artificial Intelligence, AAAI 2016 |
| Publisher | AAAI press |
| Pages | 769-775 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781577357605 |
| State | Published - 2016 |
| Externally published | Yes |
| Event | 30th AAAI Conference on Artificial Intelligence, AAAI 2016 - Phoenix, United States Duration: 12 Feb 2016 → 17 Feb 2016 |
Publication series
| Name | 30th AAAI Conference on Artificial Intelligence, AAAI 2016 |
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Conference
| Conference | 30th AAAI Conference on Artificial Intelligence, AAAI 2016 |
|---|---|
| Country/Territory | United States |
| City | Phoenix |
| Period | 12/02/16 → 17/02/16 |
Bibliographical note
Publisher Copyright:© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.