A Network and Data Link Layer QoS Model to Improve Traffic Performance

  • Jesús Arturo Pérez
  • Victor Hugo Zárate
  • Christian Cabrera
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4097)


Currently, there are a lot of e-learning and collaborative platforms to support distance and collaborative learning, however, all of them were designed just like an application without considering the network infrastructure below. Under these circumstances when the platform is installed and runs in a campus, sometimes it has very poor performance. This paper presents a network and data link layer infrastructure design that classifies and prioritizes the voice and video traffic in order to improve the performance and QoS of the collaborative systems applications. This infrastructure has been designed taking in consideration a typical network of a university campus, so that in this way it can be implemented in any campus. After making the design we have made some tests in a laboratory network demonstrating that our design improves 70-130% the performance of these real time collaborative systems which transmit voice and video.


Traffic Class Video Traffic Edge Router Traffic Type Collaborative System 


  1. 1.
    Guzdial, M., Hmelo, C., Hubscher, R., Newstetter, W., Puntambekar, S., Shabo, A., Turns, J., Kolodner, J.: Integrating and guiding collaboration: Lessons learned in computer-supported collaboration learning research at Georgia Tech. In: Proceedings of Computer-Support for Collaborative Learning (CSCL 1997), Toronto, Ontario, pp. 91–100 (1997)Google Scholar
  2. 2.
    Campbell, A., Coulson, G., Hutchison, D.: A Quality of Service Architecture. Computer Communication Review 1(2), 6–27 (1994)CrossRefGoogle Scholar
  3. 3.
    ECOLE. Synergeia. Internet Web Site consultation date:(October 2004), http://www.ecolenet.nl/best/synergeia.htm
  4. 4.
    Patras, U.: Synergo. Internet Web Site consultation date:(October 2004), http://www.ee.upatras.gr/hci/synergo/
  5. 5.
    Blackboard, I.: Blackboard Portal System. Internet Web Site (October 2004), http://www.blackboard.com
  6. 6.
    Chen, S., Nahrstedt, K.: An overview of quality-of-service routing for the next generation high-speed networks: problems and solutions, IEEE Network, Special Issue on Transmission and Distribution of Digital Video (November/ December 1998)Google Scholar
  7. 7.
    Avouris, N., Margaritis, M., Komis, V.: Real-Time Peer Collaboration In Open And Distance Learning. In: Proceedings: 6th Hellenic European Conference On Computer Mathematics & Its Applications, Athenas (September 2003)Google Scholar
  8. 8.
    Miloucheva, I., Nassri, A., Anzaloni, A.: Automated analysis of network QoS parameters for Voice over IP applications. In: 2nd International Workshop on Inter-Domain Performance and Simulation (IPS 2004), Budapest, Hungary, March 22-23 (2004)Google Scholar
  9. 9.
    Vegesna, S.: IP Quality of Service. Cisco Press (2001), ISBN 1-57870-116-3Google Scholar
  10. 10.
    Burgstahler, L., et al.: Beyond Technology: The Missing Pieces for QoS Success. In: Proceedings of the ACM SIGCOMM 2003 Workshops, August 2003, pp. 121–130 (2003)Google Scholar
  11. 11.
    Ubik, S., Vojtech, J.: QoS in Layer 2 Networks with Cisco Catalyst 3350. CES-NET Technical Report 3/2003Google Scholar
  12. 12.
    Karam, M.J., Tobagi, F.A.: Analysis of the Delay and Jitter of Voice Traffic Over the Internet. In: IEEE INFOCOM (2001)Google Scholar
  13. 13.
    Fayaz, A., McClellan, S., Manpreet, S., Sannedhi, K.: End-to-end Testing of IP QoS Mechanisms. IEEE Transactions on Mobile Computing 0018-9162/02 IEEE, pp. 80–86Google Scholar
  14. 14.
    Fineberg, V.: A practical architecture for implementing end-to-end QoS in an IP net-work. IEEE Communications Magazine 40(1), 122–130 (2002)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jesús Arturo Pérez
    • 1
  • Victor Hugo Zárate
    • 1
  • Christian Cabrera
    • 1
  1. 1.Department of ElectronicsITESM – Campus CuernavacaTemixcoMéxico

Personalised recommendations