Anticipatory Troubleshooting
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 3133-3138.
Abstract
Troubleshooting is the process of diagnosing and repairing a system that is behaving abnormally. Diagnostic and repair actions may incur costs, and traditional troubleshooting algorithms aim to minimize the costs incurred until the system is fixed. We propose an anticipatory troubleshooting algorithm, which is able to reason about both current and future failures. To reason about failures over time, we incorporate statistical tools from survival analysis that enable predicting when a failure is likely to occur. Incorporating this prognostic information in a troubleshooting algorithm enables (1) better fault isolation and (2) more intelligent decision making in which repair actions to employ to minimize troubleshooting costs over time.
@inproceedings{ijcai2016p444,
title = {Anticipatory Troubleshooting},
author = {Hasidi, Netantel and Stern, Roni and Kalech, Meir and Reches, Shulamit},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {3133--3138},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/444},
}
TY - CPAPER TI - Anticipatory Troubleshooting AU - Hasidi, Netantel AU - Stern, Roni AU - Kalech, Meir AU - Reches, Shulamit T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 3133 EP - 3138 UR - https://ijcai.org/proceedings/2016/444 ER -Copied
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