Argumentation-based fault diagnosis for home networks

Changyu Dong, Naranker Dulay

Research output: Contribution to conferenceProceedingpeer-review

9 Citations (Scopus)
38 Downloads (Pure)


Home networks are a fast growing market but managing them is a difficult task, and diagnosing faults is even more challenging. Current fault management tools provide comprehensive information about the network and the devices
but it is left to the user to interpret and reason about the data and experiment in order to find the cause of a problem. Home users may not have motivation or time to learn the required skills. Furthermore current tools adopt a closed
approach which hardcodes a knowledge base, making them hard to update and extend. This paper proposes an open fault management framework for home networks, whose goal is to simplify network troubleshooting for non-expert users. The framework is based on assumption-based argumentation
that is an AI technique for knowledge representation and reasoning. With the underlying argumentation theory, we can easily capture and model the diagnosis procedures of network administrators. The framework is rule-based and
extensible, allowing new rules to be added into the knowledge base and diagnostic strategies to be updated on the fly.The framework can also utilise external knowledge and make distributed diagnosis
Original languageEnglish
Number of pages6
Publication statusPublished - 2011
Event2nd ACM SIGCOMM workshop on Home networks - , Canada
Duration: 15 Aug 2011 → …


Workshop2nd ACM SIGCOMM workshop on Home networks
Period15/08/11 → …


  • argumentation-based
  • fault diagnosis
  • home networks


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