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dc.contributor.authorCONLAN, OWENen
dc.date.accessioned2013-08-22T13:33:52Z
dc.date.available2013-08-22T13:33:52Z
dc.date.created2011en
dc.date.issued2011en
dc.date.submitted2011en
dc.identifier.citationYuqian Song, Owen Conlan, A Novel Approach to Support the Visual Exploration and Management of Heterogeneous Home Area Network Devices and Services, 5th International Conference on Autonomous Infrastructure, Management and Security (AIMS 2011), Nancy, France, 2011, 2011, 164 - 168en
dc.identifier.otherYen
dc.descriptionPUBLISHEDen
dc.descriptionNancy, Franceen
dc.description.abstractWith the advance of home networking technologies, people now enjoy increased communications convenience whilst occasionally suffering annoyance from trivial issues. The automated application of appropriate expertise can support ordinary users in managing and diagnosing their own network, despite being unfamiliar with the basic technologies. This presents a significant opportunity to increase user satisfaction and reduce support costs. As a part of my PhD research, this paper proposes an expert knowledge derived approach to manage, diagnose and resolve network problems in real time through a user-friendly visual interface derived from semantically annotated heterogeneous raw network monitoring data. This approach has been implemented in an early prototype - Home Area Network Monitoring System (HANMS). A detailed description of the current stage of this research and future work is addressed in this paper.
dc.format.extent164en
dc.format.extent168en
dc.language.isoenen
dc.rightsYen
dc.subject.otherNetwork Devices
dc.titleA Novel Approach to Support the Visual Exploration and Management of Heterogeneous Home Area Network Devices and Servicesen
dc.title.alternative5th International Conference on Autonomous Infrastructure, Management and Security (AIMS 2011)en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/owconlanen
dc.identifier.rssinternalid81312en
dc.subject.TCDThemeIntelligent Content & Communicationsen
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.identifier.urihttp://hdl.handle.net/2262/67229


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