Integration of QoS Metrics, Rules and Semantic Uplift for Advanced IPTV Monitoring
|Title:||Integration of QoS Metrics, Rules and Semantic Uplift for Advanced IPTV Monitoring||Authors:||de Fréin, Ruairí
Murphy, Liam, B.E.
|Permanent link:||http://hdl.handle.net/10197/7541||Date:||Jul-2015||Abstract:||Increasing and variable traffic demands due to triple play services pose significant Internet Protocol Television (IPTV) resource management challenges for service providers. Managing subscriber expectations via consolidated IPTV quality reporting will play a crucial role in guaranteeing return-on-investment for players in the increasingly competitive IPTV delivery ecosystem. We propose a fault diagnosis and problem isolation solution that addresses the IPTV monitoring challenge and recommends problem-specific remedial action. IPTV delivery-specific metrics are collected at various points in the delivery topology, the residential gateway and the Digital Subscriber Line Access Multiplexer through to the video Head-End. They are then pre-processed using new metric rules. A semantic uplift engine takes these raw metric logs; it then transforms them into World Wide Web Consortium’s standard Resource Description Framework for knowledge representation and annotates them with expert knowledge from the IPTV domain. This system is then integrated with a monitoring visualization framework that displays monitoring events, alarms, and recommends solutions. A suite of IPTV fault scenarios is presented and used to evaluate the feasibility of the solution. We demonstrate that professional service providers can provide timely reports on the quality of IPTV service delivery using this system.||Funding Details:||Science Foundation Ireland||Type of material:||Journal Article||Publisher:||Springer||Copyright (published version):||2014 Springer Science+Business Media New York||Keywords:||Network and system monitoring;Measures;Quality of service;IPTV;Monitoring;Semantic uplift||DOI:||10.1007/s10922-014-9313-9||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Computer Science Research Collection|
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