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

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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.

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Acknowledgments

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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Authors and Affiliations

  1. TSSG, Waterford Institute of Technology, Waterford, Ireland

    Ruairí de Fréin & Cristian Olariu

  2. Trinity College Dublin, Dublin, Ireland

    Yuqian Song & Rob Brennan

  3. School of Computer Science and Informatics, University College Dublin, Dublin, Ireland

    Cristian Olariu, Patrick McDonagh, Adriana Hava, Christina Thorpe, John Murphy & Liam Murphy

  4. IBM Tivoli Division, Kinsale Road, Cork, Ireland

    Paul French

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  1. Ruairí de Fréin
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  2. Cristian Olariu
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Correspondence to Ruairí de Fréin.

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Neither the entire paper nor any part of its content has been published or has been accepted for publication elsewhere. It has not been submitted to any other journal.

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de Fréin, R., Olariu, C., Song, Y. et al. Integration of QoS Metrics, Rules and Semantic Uplift for Advanced IPTV Monitoring. J Netw Syst Manage 23, 673–708 (2015). https://doi.org/10.1007/s10922-014-9313-9

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  • DOI: https://doi.org/10.1007/s10922-014-9313-9

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