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Performance Evaluation of Signaling in the IP QoS System

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Języki publikacji
EN
Abstrakty
EN
The IP QoS System is based on next generation networks (NGN) and differentiated services (DiffServ) architectures. Its main part is a signaling system, which allows to send a request from a user to the system for establishing new connection with predefined quality of service assurance. In this paper we present trial results of the proposed signalling system. The experiments were performed to measure setup delay utilizing artificial call generator/analyzer. To obtain results we assumed different distributions of interarrival and call holding times based on the literature. The results show that the setup delay strongly depends on access time to network devices, however also on the assumed call holding time models.
Słowa kluczowe
Rocznik
Tom
Strony
12--20
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
autor
autor
autor
autor
  • Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska st 15/19, 00-665 Warsaw, Poland, parabas@ia.pw.edu.pl
Bibliografia
  • [1] Y. Bernet et al., “An Informal Management Model for DiffServ Routers”, Internet RFC 3290, May 2002.
  • [2] “Functional Requirements And Architecture Of Next Generation Networks”, ITU-T Rec. Y.2012, 04/2010.
  • [3] J. Babiarz et al., “Configuration Guidelines for DiffServ Service Classes”, Internet RFC 4594, Aug. 2006.
  • [4] K. Chan, J. Babiarz, and F. Baker, “Aggregation of Diffserv Service Classes”, Internet RFC 5127, Feb.2008.
  • [5] “Network Post-selection Delay in PSTN/ISDN Networks Using Internet Telephony for a Portion of the Connection”, ITU-T Rec. E.671, March 2000.
  • [6] T. Aoyama, “A new generation network: Beyond the Internet and NGN”, ITU-T Kaleidoscope, IEEE Commun. Magazine, vol. 47, no. 9, pp. 82–87, 2009.
  • [7] T. D. Dang, B. Sonkoly, and S. Molnar, “Fractal analysis and modeling of VoIP traffic”, in Proc. 11th Int. Telecommun. Netw. Strategy Planning Symp. NETWORKS 2004, Vienna, Austria, 2004, pp. 123–130.
  • [8] J. W. Roberts, “Traffic theory and the Internet”, IEEE Commun. Mag., Jan. 2001, pp. 94–99.
  • [9] W. Chen et al., “Modeling VoIP call holding times for telecommunications”, IEEE Network, Nov/Dec, pp. 22–28, 2007.
  • [10] C. Costa et al., “Analyzing client interactivity in streaming media”, in Proc. WWW 2004, New York, USA, 2004, pp. 534–543.
  • [11] E. Veloso et al., “A hierarchical characterization of a live streaming media workload”, IEEE/ACM Trans. Networking, vol. 14, no. 1, pp. 133–146, 2006.
  • [12] H. Tarasiuk et al., “Designing the simulative evaluation of an architecture for supporting QoS on a large scale”, in Proc. QoSim 2008, Marseille, France, 2008.
  • [13] J. Mongay Batalla, J. Śliwiński, H. Tarasiuk, and W. Burakowski, “Impact of signaling system performance on QoE in next generation networks”, J. Telecommun. Inform. Technol., no. 4, 2009.
  • [14] E. Mingozzi et al., “EuQoS: end-to-end quality of service over heterogeneous networks”, Computer Commun., vol. 32, iss. 12, Elsevier, 2009.
  • [15] “Resource and Admission Control Functions in Next Generation Networks”, ITU-T Rec. Y.2111, Nov. 2008.
  • [16] A. Brampton et al., “Characterising user interactivity for sports video-on-demand”, in Proc. 17th Int. Worksh. Netw. Oper. Sys. Sup. Dig. Audio Video, Urbana-Champaign NOSSDAV 2007, IL, USA, ACM, 2007.
  • [17] Sh. Jin and A. Bestavros, “Generating internet streaming media objects and workloads”, in Web Content Delivery, S. T. Chanson, X. Tang, and J. Xu, Eds. Springer, 2005.
  • [18] T. Qiu et al., “Modelling user activities in a large IPTV system”, in Proc. IMC’09, Chicago, Illinois, USA, ACM, 2009, pp. 430–442.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT8-0021-0002
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