Advertisement

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
Article

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.

Keywords

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

Notes

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.

References

  1. 1.
    Cisco visual networking index, Global IP Traffic, Forecast, 2011–2016 (2011)Google Scholar
  2. 2.
    Begen, A., Akgul, T., Baugher, M.: Watching Video over the Web: Part 2: applications, standardization, and open issues. Internet Comput. IEEE 15(3), 59–63 (2011)CrossRefGoogle Scholar
  3. 3.
    Xiao, Y., Du, X., Zhang, J., Hu, F., Guizani, S.: Internet protocol television IPTV: the killer application for the next-generation internet. Commun. Mag. IEEE 45(11), 126–134 (2007)CrossRefGoogle Scholar
  4. 4.
    Balasubramaniam, S., Mineraud, J., Perry, P., Jennings, B., Murphy, L., Donnelly, W., Botvich, D.: Coordinating allocation of resources for multiple virtual IPTV providers to maximize revenue. IEEE Trans. Broadcast. 57(4), 826–839 (2011)CrossRefGoogle Scholar
  5. 5.
    Balasubramaniam, S., Mineraud, J., McDonagh, P., Perry, P., Murphy, L., Donnelly, W., Botvich, D.: An evaluation of parameterized gradient based routing with QoE monitoring for multiple IPTV providers. IEEE Trans. Broadcast. 57(2), 183–194 (2011)CrossRefGoogle Scholar
  6. 6.
    192: Digital Video Broadcasting (DVB). ETSI, EN (2004)Google Scholar
  7. 7.
    Evans, J., Begen, A.C., Greengrass, J., Filsfils, C.: Toward lossless video transport. Internet Comput. IEEE 15(6), 48–57 (2011)CrossRefGoogle Scholar
  8. 8.
    Greengrass, J., Evans, J., Begen, A.C.: Not all packets are equal, Part I: streaming video coding and SLA requirements. Internet Comput. IEEE 13(1), 70–75 (2009)CrossRefGoogle Scholar
  9. 9.
    Luo, C., Sun, J., Xiong, H.: Monitoring and troubleshooting in operational IP-TV system. IEEE Trans. Broadcast. 53(3), 711–718 (2007)CrossRefGoogle Scholar
  10. 10.
    Kerpez, K., Waring, D., Lapiotis, G., Lyles, J.B., Vaidyanathan, R.: IPTV service assurance. Commun. Mag. IEEE 44(9), 166–172 (2006)CrossRefGoogle Scholar
  11. 11.
    Triple-play services quality of experience requirements. Technical Report, Broadband Forum. Arch. & Trans. Work. Grp (2006)Google Scholar
  12. 12.
    Begen, A.C., Perkins, C., Ott, J.: On the use of RTP for monitoring and fault isolation in IPTV. Netw. IEEE 24(2), 14–19 (2010)CrossRefGoogle Scholar
  13. 13.
    Doverspike, R., Li, G., Oikonomou, K.N., Ramakrishnan, K.K., Sinha, R.K., Wang, D.: Designing a reliable IPTV network. Internet Comput. IEEE 13(3), 15–22 (2009)CrossRefGoogle Scholar
  14. 14.
    Kim, H.-J., Choi, S.-G.: A study on a QoS/QoE correlation model for QoE evaluation on IPTV service. In: The 12th International Conference on Advanced Communication Technology, vol. 2, pp. 1377–1382 (2010)Google Scholar
  15. 15.
    Takahashi, A., Hands, D., Barriac, V.: Standardization activities in the ITU for a QoE assessment of IPTV. Commun. Mag. IEEE 46(2), 78–84 (2008)CrossRefGoogle Scholar
  16. 16.
    Welch, J., Clark, J.: RFC4445: a proposed media delivery index (MDI). Network Work Grp. (2006)Google Scholar
  17. 17.
    IPTV QoE: Understanding and interpreting MDI values. Agilent Technologies (2006)Google Scholar
  18. 18.
    Kang, H.J., Kim, M.S., Hong, J.W.K.: A method on multimedia service traffic monitoring and analysis. Self-Manag. Distrib. Syst. 2867, 93–105 (2003)CrossRefGoogle Scholar
  19. 19.
    van der Merwe, J., Cáceres, R., Chu, Y.H., Sreenan, C.: MMDump: a tool for monitoring internet multimedia traffic. ACM SIGCOMM Comput. Commun. Rev. 30(5), 48–59 (2000)CrossRefGoogle Scholar
  20. 20.
    Tao, S., Apostolopoulos, J., Guerin, R.: Real-time monitoring of video quality in IP networks. IEEE/ACM Trans. Netw. 16(5), 1052–1065 (2008)CrossRefGoogle Scholar
  21. 21.
    Noirie, L., Dotaro, E., Carofiglio, G., Dupas, A., Pecci, P., Popa, D., Post, G.: Semantic networking: flow-based, traffic-aware, and self-managed networking. Bell Labs Tech. J. 14(2), 23–38 (2009)CrossRefGoogle Scholar
  22. 22.
    de Vergara, J.E.L., Guerrero, A., Villagrá, V.A., Berrocal, J.: Ontology-based network management: study cases and lessons learned. J. Netw. Syst. Manag. 17(3), 234–254 (2009). Sp. Iss.: Ontological approaches for Network and Server ManagementCrossRefGoogle Scholar
  23. 23.
    Viswanathan, A., Hussain, A., Mirkovic, J., Schwab, S., Wroclawski, J.: A semantic framework for data analysis in networked systems. In: Proceedings of 8th USENIX Symposium on Network System Design and Implementation (2011)Google Scholar
  24. 24.
    Lee, H., Kim, T.: IPTV network error diagnosis framework based on task ontology. In: Asia Pacific Industrial Engineering and Management Society Conference, Kitakyushu, Japan, pp. 1898–1904 (2009)Google Scholar
  25. 25.
    Hoag, J.C., Hayes-Roth, F.A.: Semantic reasoning for adaptive management of telecommunications networks. IEEE International Conference on Systems, Man and Cybernetics 1, 127–131 (2006)Google Scholar
  26. 26.
    Guerrero, A., Villagrá, V.A., Vergara, J.E.L., Berrocal, J.: Ontology-based integration of management behaviour and information definitions using SWRL and OWL. In: Schönwälder, J., Serrat, J. (eds.) Ambient Networks, Lecture Notes in Computer Science, vol. 3775, pp. 12–23. Springer, Berlin (2005)Google Scholar
  27. 27.
    Fallon, L., Huang, Y., O’Sullivan, D.: Towards automated analysis and optimization of multimedia streaming services using clustering and semantic techniques. In: Brennan II, R., Joel, F., Meer, S. (eds.) Modelling Autonomic Communication Environments, Lecture Notes in Computer Science, vol. 6473, pp. 12–23. Springer, Berlin (2010)CrossRefGoogle Scholar
  28. 28.
    Feridun, M., Tanner, A.: Using linked data for systems management. In: Network Operations and Management Symposium (NOMS), IEEE, pp. 926–929 (2010)Google Scholar
  29. 29.
    Strassner, J., De Souza, J.N., Raymer, D., Samudrala, Srini, Davy, S., Barrett, K.: The design of a new policy model to support ontology-driven reasoning for autonomic networking. In: Latin American Network Operations and Management Symposium (LANOMS), pp. 114–25 (2007)Google Scholar
  30. 30.
    Seo, S.S., Kwon, A., Kang, J.M., Hong, J.W.: OSLAM: towards ontology-based SLA management for IPTV services. In: IFIP/IEEE International Symposium on Integrated Network Management (IM), pp. 1228–1234 (2011)Google Scholar
  31. 31.
    Frutos, H.M., Kotsiopoulos, I., Gonzalez, L.M.V., Merino, L.R.: Enhancing service selection by semantic QoS. In: Lora, A., Paolo, T., Fabio, C., Philipp, C., Tom, H., Eero, H., Riichiro, M., Eyal, O., Marta, S., Elena, S. (eds.) The Semantic Web: Research and Applications, Lecture Notes in Computer Science, vol. 5554, pp. 565–577. Springer, Berlin (2009)CrossRefGoogle Scholar
  32. 32.
    de Vergara, J.E.L., Aracil, J., Martínez, J., Salvador, A., Hernández, J. A.: Application of ontologies for the integration of network monitoring platforms. In: Proceedings of the 1st European Workshop on Mechanisms for Mastering Future Internet. Salzburg, Austria (2008)Google Scholar
  33. 33.
    Hampson, C., Conlan, O.: Supporting personalized information exploration through subjective expert-created semantic attributes. In: IEEE International Conference on Semantic, Computing, pp. 384–389 (2009)Google Scholar
  34. 34.
    IBM Tivoli Performance Management Suite. IBMGoogle Scholar

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

Personalised recommendations