Discovering Chronicles with Numerical Time Constraints from Alarm Logs for Monitoring Dynamic Systems
Abstract
We address the problem of knowledge acquisition for alarm correlation in a complex dynamic system like a telecommunications network. To reduce the amount of information coming from telecommunications equipment, one needs to preprocess the alarm stream and we propose here a way to acquire some knowledge to do that. The key idea is that only the frequent alarm sets are relevant for reducing the information stream: we aggregate frequent relevant information and suppress frequent noisy information. We propose algorithms for analysing alarm logs: first stage is to discover frequently occurring temporally-constrained alarm sets (called chronicles) and second stage is to filter them according to their interdependency level. We also show experimental results with an actual telecommunications ATM network.
Cite
Text
Dousson and Duong. "Discovering Chronicles with Numerical Time Constraints from Alarm Logs for Monitoring Dynamic Systems." International Joint Conference on Artificial Intelligence, 1999.Markdown
[Dousson and Duong. "Discovering Chronicles with Numerical Time Constraints from Alarm Logs for Monitoring Dynamic Systems." International Joint Conference on Artificial Intelligence, 1999.](https://mlanthology.org/ijcai/1999/dousson1999ijcai-discovering/)BibTeX
@inproceedings{dousson1999ijcai-discovering,
title = {{Discovering Chronicles with Numerical Time Constraints from Alarm Logs for Monitoring Dynamic Systems}},
author = {Dousson, Christophe and Duong, Thang Vu},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1999},
pages = {620-626},
url = {https://mlanthology.org/ijcai/1999/dousson1999ijcai-discovering/}
}