Title :
A framework for self-healing home networks
Author :
Dalal, Amy Csizmar
Author_Institution :
Dept. of Comput. Sci., Carleton Coll., Northfield, MN, USA
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;
Conference_Titel :
Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine), 2014 10th International Conference on
Conference_Location :
Rhodes
DOI :
10.1109/QSHINE.2014.6928674