Skip to main content

The Modeling and Traffic Feedback Control for QoS Management on Local Network

  • Conference paper
  • First Online:
Computational Science and Its Applications — ICCSA 2003 (ICCSA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2668))

Included in the following conference series:

  • 673 Accesses

Abstract

Throughput response characteristics depending on the network bandwidth allocation is needed to be modeled to devise adaptive control mechanism to support QoS of the local network. In this study, we propose a dynamic system model that reveals the response characteristics of network. The adaptive traffic feedback control is applied to this model. And we simulate this system for optimization of adaptive control mechanism. Finally, we implement optimized adaptive control mechanism to the real network. Therefore we observe a good performance with adaptive control mechanism to support QoS of network.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. http://www/ietf.org, IETF Homepage

  2. R. Barden, D. Clark, and S. Shenker, “Integrated Services in the Internet Architecture: An Overview, ” RFC 1633, June 1994.

    Google Scholar 

  3. S. Brake, et. al., “An Architecture for Differentiated Services,” RFC 2475, Dec. 1998.

    Google Scholar 

  4. http://snafu.freedom.org/linux2.2/iproute-notes.html

  5. http://www.engin.umich.edu/group/ctm/PID/PID.html

  6. http://www.cemtool.co.kr

  7. A. Campbell, G. Coulson, D. Hutchison, “A Quality of Service Architecture,” ACM Computer Communications Review, April 1994.

    Google Scholar 

  8. Lonnie R. Welch, Behrooz A. Shirazi, Binoy Ravindran and Carl Bruggeman, “DeSiDeRaTa: QoS MANAGEMENT TECHNOLOGY FOR DYNAMIC, SCALABLE, DEPENDABLE, REAL-TIME SYSTEMS,” IFAC:7–11, 1998.

    Google Scholar 

  9. H.S. Hilier, G.J. Lieberman, Introduction to Operation Research 5 th ed., McGraw-Hill, 1990.

    Google Scholar 

  10. John J. Kinney, Probability: An Introduction with Statistical Application, John Wiley & Sons, Inc., 1997.

    Google Scholar 

  11. K. Ogata, Modern Control Engineering 3 rd ed., Prentice-Hall, 1997.

    Google Scholar 

  12. J. Padhye, V. Firoiu, D. Towsley, and J. Kurose, “Modeling TCP Throughput: A Simple Model and its Empirical Validation,” Proceeding of SIGCOMM’98, 1988.

    Google Scholar 

  13. J. Padhye, J. Kurose, D. Towsley, and R. Koodli, “TCP-Friendly Rate Adjustment Protocol for Continuous Media Flows over Best Effort Networks,” UMASS CMPSCI Technical Report, 1999.

    Google Scholar 

  14. R. Brockett, “Stochastic control,” Lecture Note, Harvard University.

    Google Scholar 

  15. C.V. Hollot, V. Misra, D. Towsley and W. Gong, “A control theoretic analysis of RED,” Proceedings of IEEE INFOCOM’2001., Vol. 3, pp. 1510–1519.

    Google Scholar 

  16. C.V. Hollot, V. Misra, D. Towsley and W. Gong, “On designing improved controllers for AQM routers supporting TCP flows,” Proceedings of IEEE INFOCOM’2001., Vol. 3, pp. 1726–1734.

    Google Scholar 

  17. A. O. Dwyer, “PI and PID controller tuning rules for time delay process: a summary,” Tech. Rep., AOD-00-01, Edition 1.

    Google Scholar 

  18. Jitendra Padhye, Victor Firoiu, “Modeling TCP Throughput: A Simple Model and its Empirical Validation,” ACM SIGCOMM, 1988.

    Google Scholar 

  19. Srinivasan Keshav, “A Control-Theoretic Approach to Flow Control,” Proceedings of the conference on Communications architecture & protocols, pp. 3–15, 1993.

    Google Scholar 

  20. S. Keshav, A.K. Agrawala and S. Singh, “Design and Analysis of a Flow Control for a Network of Rate Allocating Servers,” Protocols for High Speed Networks II, Elsevier Science Publishers/North-Holland, April 1991.

    Google Scholar 

  21. D.L. Jagerman, B. Melamed, and W. Willinger, “Stochastic modeling of traffic processes,” Frontiers in Queuing: Models, methods and Problems, J.H. Dshalalow, Ed. 1996.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Park, J., Huh, E.N., Mun, Y., Lee, B.G. (2003). The Modeling and Traffic Feedback Control for QoS Management on Local Network. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2668. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44843-8_50

Download citation

  • DOI: https://doi.org/10.1007/3-540-44843-8_50

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40161-2

  • Online ISBN: 978-3-540-44843-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics