A log mining approach to failure analysis of enterprise telephony systems
A log mining approach to failure analysis of enterprise telephony systems
复制标题
用于企业电话系统故障分析的日志挖掘方法
DOI：
10.1109/dsn.2008.4630109
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
S. Yajnik
中科院分区：
文献类型：
--
作者：
Chinghway Lim;Navjot Singh;S. Yajnik
表征系统和用户行为表征的日志监视技术已广受欢迎。系统日志研究的一些常见应用是系统销售挖掘，以检测和预测系统故障行为，Web日志挖掘以表征Web使用模式以及用于检测异常的错误/调试日志分析。在本文中，我们讨论了应用日志挖掘技术来表征大型企业电话系统行为的经验。我们的目标是检测系统异常。我们描述了此类日志研究中遇到的问题并提出了一些解决方案。解决方案的关键区别是使用单个消息频率来表征系统行为以及通过用户反馈合并特定领域知识的能力。我们建议的技术足够一般，可以适用于其他系统日志，并且可以轻松地包装到自动化工具中进行日志分析。
Log monitoring techniques to characterize system and user behavior have gained significant popularity. Some common applications of study of systems logs are syslog mining to detect and predict system failure behavior, Web log mining to characterize Web usage patterns, and error/debug log analysis for detecting anomalies. In this paper, we discuss our experiences with applying log mining techniques to characterize the behavior of large enterprise telephony systems. We aim to detect, and in some cases, predict system anomalies. We describe the problems encountered in the study of such logs and propose some solutions. The key differentiator of our solutions is the use of individual message frequencies to characterize system behavior and the ability to incorporate domain-specific knowledge through user feedback. The techniques that we propose are general enough to be applicable to other systems logs and can easily be packaged into automated tools for log analysis.