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
Link To Document