On the Location-Awareness of Bandwidth Allocation and Admission Control for the Support of Real-Time Traffic in Class-Based IP Networks

  • Stylianos Georgoulas
  • Panos Trimintzios
  • George Pavlou
  • Kin-Hon Ho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4267)


The support of real-time traffic in class-based IP networks requires reservation of resources, accompanied by admission control in order to guarantee that newly admitted real-time traffic flows do not cause any violation to the Quality of Service (QoS) perceived by the already established ones. In this paper we highlight certain issues with respect to bandwidth allocation and admission control for supporting real-time traffic in class-based IP networks. We investigate the implications of topological placement of both bandwidth allocation and admission control schemes. We show that their performance depends highly on the location of the employed procedures with respect to the end-users and the various network boundaries. We conclude that the strategies for applying these schemes should be location-aware, because their performance at different points in a class-based IP network can be different and can deviate from the expected performance. Through simulations we also provide a quantitative view of these deviations.


Packet Loss Admission Control Packet Loss Rate Bandwidth Allocation Core Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Sun, W., Bhaniramka, P., Jain, R.: Quality of Service using Traffic Engineering over MPLS: An Analysis. In: IEEE LCN 2000 (2000)Google Scholar
  2. 2.
    Schollmeier, G., Winkler, C.: Providing Sustainable QoS in Next-Generation Networks. IEEE Communications Magazine (June 2004)Google Scholar
  3. 3.
    Lakkakorpi, J., Strandberg, O., Salonen, J.: Adaptive Connection Admission control for Differentiated Services Access Networks. IEEE Journal on Selected Areas in Communications (October 2005)Google Scholar
  4. 4.
    Bonald, T., Proutiere, A., Roberts, J.: Statistical Performance Guarantees for Streaming Flows using Expedited Forwarding. In: IEEE INFOCOM 2001 (2001)Google Scholar
  5. 5.
    Mowbray, M., Karlsson, G., Kohler, T.: Capacity Reservation for Multimedia Traffics. Distr. Syst. Eng. (1998)Google Scholar
  6. 6.
    Guerin, R., Ahmadi, H., Naghshieh, M.: Equivalent Capacity and its Application to Bandwidth Allocation in High-Speed Networks. IEEE Journal on Selected Areas in Communications (September 1991)Google Scholar
  7. 7.
    Courcoubetis, C., Fouskas, G., Weber, R.: On the Performance of an Effective Bandwidths Formula. In: International Teletraffic Congress (1994)Google Scholar
  8. 8.
    Roberts, J., Mocci, U., Virtamo, J.: Broadband Network Teletraffic. Final report of action COST 242. Springer, Heidelberg (1996)Google Scholar
  9. 9.
    Bonald, T., Oueslati-Boulahia, S., Roberts, J.: IP traffic and QoS control: the need for a flow-aware architecture. In: World Telecommunications Congress (September 2002)Google Scholar
  10. 10.
    Breslau, L., Knightly, E., Shenker, S., Stoica, I., Zhang, Z.: Endpoint Admission Control: Architectural Issues and Performance. In: SIGCOMM 2000 (2000)Google Scholar
  11. 11.
    Grossglauser, M., Tse, D.: A Framework for Robust Measurement-Based Admission Control. IEEE/ACM Transactions on Networking (June 1999)Google Scholar
  12. 12.
    Eun, D., Shroff, N.: A Measurement-Analytic Approach for QoS Estimation in a Network Based on the Dominant Time Scale. IEEE/ACM Transactions on Networking (April 2003)Google Scholar
  13. 13.
    Lima, S., Carvalho, P., Freitas, V.: Distributed Admission Control for QoS and SLS Management. Journal of Network and Systems Management (September 2004)Google Scholar
  14. 14.
    Fall, K., Varadhan, K.: The ns manual, http://www.isi.edu/nsnam/ns/ns_doc.pdf
  15. 15.
    Chuah, C., Subramarian, L., Katz, R.: Furies: A Scalable Framework for Traffic Policing and Admission Control, U.C Berkeley Technical Report (May 2001)Google Scholar
  16. 16.
    Maglaris, B., Anastassiou, D., Sen, P., Karlsson, G., Robbins, J.: Performance Models of Statistical Multiplexing in Packet Video Communications. IEEE Transactions on Communications (July 1988)Google Scholar
  17. 17.
    Mas, I., Fodor, V., Karlsson, G.: The Performance of Endpoint Admission Control Based on Packet Loss. In: Karlsson, G., Smirnov, M. (eds.) QofIS 2003. LNCS, vol. 2811, pp. 63–72. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  18. 18.
    Shiomoto, K., Yamanaka, N., Takahashi, T.: Overview of Measurement-based Connection Admission Control Methods in ATM Networks. IEEE Communication Surveys (1999)Google Scholar
  19. 19.
    Perros, H., Elsayed, K.: Call Admission Control Schemes: A Review. IEEE Communications Magazine (November 1996)Google Scholar
  20. 20.
    Torneus, M.: Testbed for Measurement Based Traffic Control. Master’s Thesis, KTH IMIT, Sweden (June 2000)Google Scholar
  21. 21.
    Padmanabhan, V.N., Qiu, L., Wang, H.J.: Server-based inference of Internet Link Lossiness. In: IEEE INFOCOM 2003 (2003)Google Scholar
  22. 22.
    Iannaccone, G., May, M., Diot, C.: Aggregate Traffic Performance with Active Queue Management and Drop from Tail. Computer Communications Review (July 2001)Google Scholar
  23. 23.
    Menth, M.: Efficient Admission Control and Routing for Resilient Communication Networks. PhD Thesis, Univ. of Wurzburg (July 2004)Google Scholar
  24. 24.
    Zhang, H., Ferrari, D.: Rate-controlled Static-Priority queuing. In: IEEE INFOCOM 1993 (1993)Google Scholar
  25. 25.
    Dabrowski, M., Beben, A., Burakowski, W.: On Inter-domain Admission Control Supported by Measurements in Multi-domain IP QoS Networks. In: IEEE IPS 2004 (2004)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2006

Authors and Affiliations

  • Stylianos Georgoulas
    • 1
  • Panos Trimintzios
    • 1
    • 2
  • George Pavlou
    • 1
  • Kin-Hon Ho
    • 1
  1. 1.Centre for Communication Systems ResearchUniversity of SurreyGuildford, SurreyUnited Kingdom
  2. 2.ENISAHeraklion, CreteGreece

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