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Fault localization based on combines active and passive measurements in computer networks by ant colony optimization

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  • Garshasbi, Mohammad Sadeq

Abstract

As computer networks continue to grow in size and complexity, effective network management is expected to become even more crucially important and more challenging. Computer network applications can be plagued by a variety of software or hardware faults. These faults can be critical and costly in the debugging and deployment of networks. In general, fault management in computer networks comprises four steps: fault detection, fault localization, repairing and testing. Among these steps, fault localization has been considered the most important step of fault management. Therefore, we focus on the study of fault localization and proposed an approach based on Ant Colony algorithm to fault localization in computer networks. We also evaluate the proposed approach by simulations, and show that our algorithm is superior to the other fault localization algorithms.

Suggested Citation

  • Garshasbi, Mohammad Sadeq, 2016. "Fault localization based on combines active and passive measurements in computer networks by ant colony optimization," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 205-212.
    • Handle: RePEc:eee:reensy:v:152:y:2016:i:c:p:205-212
    DOI: 10.1016/j.ress.2016.03.017
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    1. Cai, Baoping & Liu, Yonghong & Fan, Qian & Zhang, Yunwei & Liu, Zengkai & Yu, Shilin & Ji, Renjie, 2014. "Multi-source information fusion based fault diagnosis of ground-source heat pump using Bayesian network," Applied Energy, Elsevier, vol. 114(C), pages 1-9.
    2. Ntalampiras, Stavros & Soupionis, Yannis & Giannopoulos, Georgios, 2015. "A fault diagnosis system for interdependent critical infrastructures based on HMMs," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 73-81.
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