10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness

Research Article

A Framework for Self-Healing Home Networks

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  • @INPROCEEDINGS{10.4108/icst.qshine.2014.256429,
        author={Amy Csizmar Dalal},
        title={A Framework for Self-Healing Home Networks},
        proceedings={10th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness},
        publisher={IEEE},
        proceedings_a={QSHINE},
        year={2014},
        month={9},
        keywords={self-healing qoe home networks measurement},
        doi={10.4108/icst.qshine.2014.256429}
    }
    
  • Amy Csizmar Dalal
    Year: 2014
    A Framework for Self-Healing Home Networks
    QSHINE
    IEEE
    DOI: 10.4108/icst.qshine.2014.256429
Amy Csizmar Dalal1,*
  • 1: Carleton College
*Contact email: adalal@carleton.edu

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.