基于案例推理的通信网络故障管理方法

L. Lewis
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引用次数: 62

摘要

大多数通信网络的故障解决系统使用基于规则的推理(RBR)范式来表示故障解决专业知识。尽管RBR范例适用于受限的和被充分理解的解决问题的任务,但它的局限性是无法从经验中学习,无法处理新问题,以及难以更新系统以跟上快速变化的领域(如扩展异构网络)。本文描述了一个较少受这些限制约束的基于案例的推理(CBR)应用程序。采用的方法是用CBR组件增强标准故障管理系统,回顾了用于检索、调整和嵌入案例库知识的CBR技术,并描述了用于管理和解决网络故障的CBR故障票证系统CRITTER
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A case-based reasoning approach to the management of faults in communication networks
Most fault resolution systems for communications networks represent fault resolution expertise using a rule-based reasoning (RBR) paradigm. Although the RBR paradigm is appropriate for problem-solving tasks that are confined and well-understood, its limitations are an inability to learn from experience, an inability to deal with novel problems, and the difficulty of updating the systems to keep up with rapidly changing domains such as expanding heterogeneous networks. A case-based reasoning (CBR) application that is less constrained by these limitations is described. The approach taken is to enhance a standard fault management system with a CBR component, CBR techniques for retrieving, adapting, and embedding knowledge in a case library are reviewed, and CRITTER, a CBR trouble ticketing system for managing and resolving network faults, is described.<>
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