• DocumentCode
    125109
  • Title

    A framework for self-healing home networks

  • Author

    Dalal, Amy Csizmar

  • Author_Institution
    Dept. of Comput. Sci., Carleton Coll., Northfield, MN, USA
  • fYear
    2014
  • fDate
    18-20 Aug. 2014
  • Firstpage
    135
  • Lastpage
    136
  • Abstract
    Self-healing networks, or computer networks that can detect existing or potential pathologies and mitigate them with minimal human intervention, are particularly attractive in the home networking space, as home networks are heterogeneous and are typically configured and maintained by non-experts. Home networks greatly benefit from the ability to independently detect and mitigate issues with minimal user intervention. In this work in progress paper, we propose a proactive framework for a self-healing home network that detects and mitigates network pathologies that may lead to reduced application QoE. The framework collects and analyzes both application-level and network-level data to assessing the current “health” of the home network. In addition, the framework will apply a set of heuristics to determine the best course of action to take when presented with a set of network conditions.
  • Keywords
    computer network reliability; home networks; computer networks; heterogeneous network; home network health; proactive framework; self-healing home networks; Bandwidth; Current measurement; Home automation; Loss measurement; Monitoring; Pathology; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine), 2014 10th International Conference on
  • Conference_Location
    Rhodes
  • Type

    conf

  • DOI
    10.1109/QSHINE.2014.6928674
  • Filename
    6928674