节点文献
一种基于超立方体网络的高效故障诊断并行算法
Novel Fault Diagnosis Parallel Algorithm for Hypercube Networks
【摘要】 超立方网络是一种重要的网络拓扑结构。针对现有的超立方网络故障诊断算法复杂度高的问题,引入故障扇的概念,采用并行深度优先搜索策略设计算法,通过算法寻找超立方体网络中的故障扇,确定该网络的故障节点,以便替换或修复,为增强网络的可靠性提供了一条重要的新途径。最后对所提算法的复杂性进行了分析,证明了该算法的时间复杂度不超过O(N),远优于现有复杂度超过平方级的算法。
【Abstract】 Hypercube is one of valuable interconnection networks.Aiming at the problem of high complexity of existing fault diagnosis algorithm in hypercube network,this paper proposed a concept of fault fan.The parallel depth-first search strategy algorithm is used to find the fault fan in hypercube networks,and the fault node of network is determined in order to replace or repair it,which provides a significant way for enhancing the reliability of network.In the end,the complexity of the proposed algorithm was analyzed.It is proved that the time complexity of the algorithm does not exceed O(N),which is far better than the algorithm with more than square complexity.
【Key words】 Hypercube network; Fault diagnosis; Fault fans; System level diagnosis;
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2019年05期
- 【分类号】TP338;TP393.06
- 【被引频次】1
- 【下载频次】132