基于无时比较的高动态网络系统级故障诊断模型

Hazim Jarrah, P. Chong, N. Sarkar, Jairo Gutiérrez
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引用次数: 4

摘要

研究了高动态网络中的系统级故障诊断问题。现有的故障诊断模型主要处理静态故障,对动态网络的处理能力有限。这些故障诊断模型基于计时器,计时器使用简单的超时机制来识别节点状态,并且通常对系统实现做出简单的假设。为了克服上述问题,我们提出了一种基于无时间比较的诊断模型。与传统模型不同,该模型不依赖于定时器,更适合在动态网络环境中使用。我们还开发了一种新的基于比较的故障诊断协议来识别和诊断动态故障。分析了协议的性能,证明了协议的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Time-Free Comparison-Based System-Level Fault Diagnostic Model for Highly Dynamic Networks
This paper considers the problem of system-level fault diagnosis in highly dynamic networks. The existing fault diagnostic models deal mainly with static faults and have limited capabilities to handle dynamic networks. These fault diagnostic models are based on timers that work on a simple timeout mechanism to identify the node status, and often make simplistic assumptions for system implementations. To overcome the above problems, we propose a time-free comparison-based diagnostic model. Unlike the traditional models, the proposed model does not rely on timers and is more suitable for use in dynamic network environments. We also develop a novel comparison-based fault diagnosis protocol for identifying and diagnosing dynamic faults. The performance of the protocol has been analyzed and its correctness has been proved.
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