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A formal framework for the decentralised diagnosis of large scale discrete event systems and its application to telecommunication networks

机译:大规模离散事件系统分散诊断的正式框架及其在电信网络中的应用

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摘要

We address the problem of diagnosing large discrete event systems. Given a flow of observations from the system, the goal is to explain these observations on-line by identifying and localising possible failures and their consequences across the system. Model-based diagnosis approaches deal with this problem but, apart very recent proposals, either they require the computation of a global model of the system which is not possible with large discrete event systems, or they cannot perform on-line diagnosis. The contribution of this paper is the description and the implementation of a formal framework for the on-line decentralised diagnosis of such systems, framework which is based on the "divide and conquer" principle and does not require the global model computation. This paper finally describes the use of this framework in the monitoring of a real telecommunication network. (c) 2005 Elsevier B.V. All rights reserved.
机译:我们解决了诊断大型离散事件系统的问题。给定来自系统的观察流,目标是通过识别和定位整个系统中可能的故障及其后果来在线解释这些观察。基于模型的诊断方法可解决此问题,但是,除了最近的提议之外,它们要么需要计算系统的全局模型(这对于大型离散事件系统是不可能的),要么无法执行在线诊断。本文的贡献是对这种系统的在线分散诊断的正式框架的描述和实现,该框架基于“分而治之”原理,不需要全局模型计算。本文最后描述了此框架在实际电信网络的监视中的使用。 (c)2005 Elsevier B.V.保留所有权利。

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