@inproceedings{dafb6e5426e94d78ab6e239b8a7d6c36,
title = "An active approach for automatic rule discovery in rule-based monitoring systems",
abstract = "In large-scale cloud service datacenters, there always have a monitoring center in charge of the health status of all system components. When faults occur, it should react rapidly and notify managers to avoid further lose. The most popular solution for fault detection in enterprise environments is rule-based detection. And to our knowledge, there exists a limitation for the existing rule-based solution that rules are always configured by managers relying on experiences, which is wildly inaccurate and wastes lots of labor. We present a methodology that can discover monitoring rules automatically and accurately in this paper. And through our experiment, we demonstrate it correct and effective.",
keywords = "Fault analysis, Fault diagnose, Rule analysis",
author = "Chao Ding and Mingxia Zeng and Kui Wang and Polo Pei and Zhongzhi Luan and Depei Qian",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; International Standard Conference on Trustworthy Computing and Services, ISCTCS 2014 ; Conference date: 28-11-2014 Through 29-11-2014",
year = "2015",
doi = "10.1007/978-3-662-47401-3\_40",
language = "英语",
isbn = "9783662474006",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "304--310",
editor = "Yueming Lu and Xu Wu and Xi Zhang and Yueming Lu and Xu Wu and Xi Zhang and Xu Wu",
booktitle = "Trustworthy Computing and Services - International Conference, ISCTCS 2014, Revised Selected Papers",
address = "德国",
}