根据比较模型,定期网络的诊断能力
Jiarong Liang1, Mengdie Xiao1, Zhi Lin1
1School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China.
Sensors (Basel, Switzerland)
|April 13, 2024
概括
本研究引入了使用t/k诊断在比较模型下的大型多处理器系统故障诊断的新方法. 它有效地确定常规互连网络的t/k诊断能力.
科学领域:
- 计算机科学 计算机科学
- 容错系统 容错系统
- 网络诊断 网络诊断 网络诊断
背景情况:
- 多处理器系统面临越来越大的故障.
- 故障诊断对于系统可靠性至关重要.
- 现有的t/k诊断方法在比较模型中是有限的.
研究的目的:
- 为比较模型开发有效的t/k诊断策略.
- 为了确定正规互连网络的t/k诊断能力.
主要方法:
- 引入了新的概念:0测试单元,0测试集和0测试子图.
- 分析了0测试子图和系统组件 (G-F) 之间的关系.
- 已确立用于故障诊断的相关性属性.
主要成果:
- 建立了0测试子图和G-F组件之间的重要相关性.
- 在比较模型下研究t/k诊断能力的框架.
- 能够有效地确定某些网络的t/k-诊断能力.
结论:
- 拟议的方法为对比模型中的t/k-诊断性提供了新的见解.
- 这项研究有助于在大型系统中更有效地诊断故障.
- 该研究有助于多处理器系统的可靠性和维护.
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