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A new fault detection method for computer networks

机译:一种新的计算机网络故障检测方法

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摘要

Over the past few years, fault detection for computer networks has attracted extensive attentions for its importance in network management. Most existing fault detection methods are based on active probing techniques which can detect the occurrence of faults fast and precisely. But these methods suffer from the limitation of traffic overhead, especially in large scale networks. To relieve traffic overhead induced by active probing based methods, a new fault detection method, whose key is to divide the detection process into multiple stages, is proposed in this paper. During each stage, only a small region of the network is detected by using a small set of probes. Meanwhile, it also ensures that the entire network can be covered after multiple detection stages. This method can guarantee that the traffic used by probes during each detection stage is small sufficiently so that the network can operate without severe disturbance from probes. Several simulation results verify the effectiveness of the proposed method.
机译:在过去的几年中,计算机网络的故障检测在网络管理中的重要性引起了广泛的关注。现有的大多数故障检测方法都是基于主动探测技术的,该技术可以快速,准确地检测故障的发生。但是这些方法受到流量开销的限制,尤其是在大规模网络中。为了缓解基于主动探测的方法带来的流量开销,提出了一种新的故障检测方法,其关键是将检测过程分为多个阶段。在每个阶段,通过使用一小组探针只能检测到网络的一小部分。同时,它还确保了经过多个检测阶段后,整个网络可以被覆盖。此方法可以确保探针在每个检测阶段使用的流量足够小,以使网络可以正常运行而不会受到探针的严重干扰。若干仿真结果验证了该方法的有效性。

著录项

  • 来源
    《Reliability Engineering & System Safety》 |2013年第6期|45-51|共7页
  • 作者单位

    State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, PR China;

    State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, PR China;

    State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, PR China;

    State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    computer networks; fault detection; active probing; bipartite bayesian network; probe selection algorithm;

    机译:计算机网络;故障检测;主动探测双向贝叶斯网络;探针选择算法;

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