Journal of Network and Systems Management

, Volume 23, Issue 3, pp 673–708 | Cite as

Integration of QoS Metrics, Rules and Semantic Uplift for Advanced IPTV Monitoring

  • Ruairí de FréinEmail author
  • Cristian Olariu
  • Yuqian Song
  • Rob Brennan
  • Patrick McDonagh
  • Adriana Hava
  • Christina Thorpe
  • John Murphy
  • Liam Murphy
  • Paul French


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.


Network and system monitoring Measures Quality of Service IPTV Monitoring Semantic uplift 



The authors would like to thank the anonymous reviewers and the associated editor, Ajita John, for their detailed comments and suggestions. The revised manuscript has benefited in terms of presentation and clarity. This work has received support from Science Foundation Ireland via Grant 08/SRC/I1403 FAME SRC (Federated, Autonomic Management of End-to-End Communications Services—Strategic Research Cluster) and via Grant 11/TIDA/I2024.


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Ruairí de Fréin
    • 1
    Email author
  • Cristian Olariu
    • 1
    • 3
  • Yuqian Song
    • 2
  • Rob Brennan
    • 2
  • Patrick McDonagh
    • 3
  • Adriana Hava
    • 3
  • Christina Thorpe
    • 3
  • John Murphy
    • 3
  • Liam Murphy
    • 3
  • Paul French
    • 4
  1. 1.TSSG, Waterford Institute of TechnologyWaterfordIreland
  2. 2.Trinity College DublinDublinIreland
  3. 3.School of Computer Science and InformaticsUniversity College DublinDublinIreland
  4. 4.IBM Tivoli DivisionCorkIreland

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