计算机科学 ›› 2017, Vol. 44 ›› Issue (6): 83-90.doi: 10.11896/j.issn.1002-137X.2017.06.014

• 网络与通信 • 上一篇    下一篇

基于比较诊断模型的超立方网络诊断算法

陈秒江,梁家荣,张乾   

  1. 广西大学计算机与电子信息学院 南宁530004,广西大学计算机与电子信息学院 南宁530004,广西大学计算机与电子信息学院 南宁530004
  • 出版日期:2018-11-13 发布日期:2018-11-13
  • 基金资助:
    本文受国家自然科学基金项目:新型互连网络的嵌入性与容错性研究(61364002)资助

Hypercube Network Diagnosis Algorithm under Comparison Model

CHEN Miao-jiang, LIANG Jia-rong and ZHANG Qian   

  • Online:2018-11-13 Published:2018-11-13

摘要: 一个有效的诊断算法对多处理器系统而言极其重要。在多处理器系统中,识别所有故障节点的能力称为诊断系统的诊断度。在比较模型下,诊断 的执行是通过一个比较器处理器,给与之相邻的一对处理器发送相同的输入信号,并比较两者间的响应状态。为了提高超立方网络的诊断度,提出了一种新型的基于比较模型的超立方故障诊断算法,其利用超立方网络节点连接的特性生成一个拓扑图ES(k;n),最终得出一个3位二进制的诊断症候集,从而确定系统故障节点。该算法的诊断度最优能达到4n,大于传统超立方的诊断度n。

关键词: 故障诊断,比较诊断模型,超立方网络,系统级诊断

Abstract: An efficient diagnosis is very important for a multiprocessor system.The ability to identify all the faulty nodes in a multiprocessor system is known as diagnosability.In the comparison model,the diagnosis is performed by sending two identical signals from a processor to a pair of distinct neighbors,and comparising the responses.To improve the diagnosability of hypercube network,we presented a novel hypercube network algorithm under the comparison mo-del,which uses the characteristic of the hypercube links to produce a topology netword ES(k;n) and obtains a three-binary diagnosis syndrome to determine the fault node of the system.In the optimal conditions,the diagnosability of algorithm is 4n,which is bigger than its ordinary diagnosability n.

Key words: Fault diagnosis,Comparison diagnosis model,Hypercube network,System-level diagnosis

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