A Scalable Rule-based Reasoning Algorithm for Fault Diagnosis

摘要：

Because of network connection and the relations among services and network devices, a network fault usually happens with a series of related faults. These conditions bring complications to find out the exact root fault that leads fault storms. We have proposed a knowledge-based fault diagnosis model and a rule-based reasoning algorithm in our previous work. As we all know, control strategy and rules are often expanded or changed in fault reasoning. Based on the previous work, this paper proposes an Optimized Fault Reasoning Algorithm(OFRA) that can be scalable and maintainable based on two design patterns. We also implement OFRA in a real network and use real fault cases to validate the efficiency of the scalability and maintenance of OFRA.

作者: Lan liu Jian-Feng Xu

作者单位: Computer Technology Department, NanChang University NanChang, Jiangxi, 330047,China School of Software, NanChang University

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 518-521

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）