Modeling of Congestion and Traffic Control Techniques in ATM Networks

Bourdilllon Odianonsen Omijeh; Philip Ogah

doi:doi:10.11648/j.ajnc.20150406.11

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Modeling of Congestion and Traffic Control Techniques in ATM Networks

Bourdilllon Odianonsen Omijeh, Philip Ogah

Published in American Journal of Networks and Communications (Volume 4, Issue 6)

Received: 20 October 2015 Accepted: 30 October 2015 Published: 2 December 2015

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Abstract

In this Paper, Computer – based Simulation models for effective Congestion control and Traffic management in Asynchronous Transfer Mode (ATM) network have been developed providing a basis for monitoring ATM networks performance for traffic and congestion control purposes ,providing a system with a reduce short -term congestion in ATM networks, and enhancing a fair operation of networks in spite of the challenges in designing ATM traffic management system to make maximal use of network resources. An IDCC scheme was implemented, applying IDCC methodology to the ATM Network. Using analysis performance, limits were created for robust controlled network behaviour, as dictated by reference values of the desired queue length. By tightly controlling output of the controller, the overall network performance was adjusted and also controlled. A simulation tool, MATLAB/SIMULINK, was used for this purpose. An improvement was observed in the delay performance of ATM networks. The results were obtained by running several simulations and populating a table with the outcome over a number of simulation runs. The effectiveness of the congestion control techniques was tested by analysing the dynamic performance of the model through variation of some parameters. The performance of this model proved to be efficient if applied in the ATM network of today.

Published in	American Journal of Networks and Communications (Volume 4, Issue 6)
DOI	10.11648/j.ajnc.20150406.11
Page(s)	119-128
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

ATM, IDCC, Traffic, Congestion, Model, Matlab/Simulink

References

[1]	Dinesh Taukur: What is Congestion,.www.ecomputernote.com
[2]	ROBERTS, J 2004, Internet Traffic, Qos, And Pricing. Proceedings Of The IEEE, 92, 1389-1399.
[3]	TORSTEN BRAUN & THOMAS STAUB 2008, End-To-End Quality Of Service Over Heterogeneous Networks. Springer. ISBN 978-3-540-79119-5.
[4]	WILLIAM STALLINGS, “High Speed Networks TCP/IP And ATM Design Principles”, Prentice Hall, 1998.
[5]	LEONARD FRANKEN. Quality Of Service Management: A Model-Based Approach. Phd Thesis, Centre For Telematics And Information Technology, 1996.
[6]	JACOBSON V 1998, Notes On Using Red For Queue Management And Congestion Avoidance, Viewgraphs From Talk At Nanog 13, Available From Ftp://Ftp.Ee.Lbl.Gov/Talks/Vj-Nanog-Red.Pdf.
[7]	NAGLE J 1984, Congestion Control In IP/TCP Internetworks RFC 896.Networking, June 1993.
[8]	GERLA M AND KLEINROCK L (1980) Flow Control: A Comparative Survey. IEEE Transactions On Communications 28 (4), 553–574.
[9]	CHARNY, A. (1994). “An Algorithm For Rate Allocation In A Cell-Switching Network With Conference Paper At Adekunle Ajasin University, Akungba – Akoko, 2010.
[10]	KESHAV, S 1991B, A Control-Theoretic Approach To Flow Control ACM SIGCOMM, Pp. 3–15. ACM Press.
[11]	Omijeh. B.O and Biebuma. J.J(2013). Traffic Modelling For Capacity Analysis of CDMA Networks using Lognormal Approximation Method, IOSR Journal of Electronics and Communication Engineering (IOSR-JECE),Volume 4, Issue 6 (Jan. - Feb. 2013), PP 42-50.
[12]	THOMAS, M & CHEN 2007, Network Traffic Modeling, The Handbook Of Computer Networks, Hossein Bidgoli (Ed.), Wiley, To Appear 2007.Southern Methodist University, Dallas, Texas.
[13]	AL-BAHADILI, H. 2012: Simulation In Computer Network Design And Modeling, Use And Analysis. Hershey, PA, IGI Global.
[14]	Omijeh, B.O, R. Okinege, R. Ochi (2013): “Traffic Modelling for capacity analysis of CDMA Networks using Gaussian, International Journal of Electronic , Communication and Computer Engineering (IJECCE), Vol 5, N0. 3, 2013.
[15]	http://www.eng.auburn.edu
[16]	http://www.cs.ucy.ac.cy
[17]	Network Congestion :http:// en.wikipedia.org/wiki/network_congestion
[18]	ARANUWA, F, O 2010, Traffic Control And Bandwidth Allocation In ATM Networks.
[19]	Welze (2006): Network congestion Control: Managing Internet Traffic, www.onlinelibrary.wiley.com

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APA Style

Bourdilllon Odianonsen Omijeh, Philip Ogah. (2015). Modeling of Congestion and Traffic Control Techniques in ATM Networks. American Journal of Networks and Communications, 4(6), 119-128. https://doi.org/10.11648/j.ajnc.20150406.11

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ACS Style

Bourdilllon Odianonsen Omijeh; Philip Ogah. Modeling of Congestion and Traffic Control Techniques in ATM Networks. Am. J. Netw. Commun. 2015, 4(6), 119-128. doi: 10.11648/j.ajnc.20150406.11

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AMA Style

Bourdilllon Odianonsen Omijeh, Philip Ogah. Modeling of Congestion and Traffic Control Techniques in ATM Networks. Am J Netw Commun. 2015;4(6):119-128. doi: 10.11648/j.ajnc.20150406.11

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@article{10.11648/j.ajnc.20150406.11,
  author = {Bourdilllon Odianonsen Omijeh and Philip Ogah},
  title = {Modeling of Congestion and Traffic Control Techniques in ATM Networks},
  journal = {American Journal of Networks and Communications},
  volume = {4},
  number = {6},
  pages = {119-128},
  doi = {10.11648/j.ajnc.20150406.11},
  url = {https://doi.org/10.11648/j.ajnc.20150406.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20150406.11},
  abstract = {In this Paper, Computer – based Simulation models for effective Congestion control and Traffic management in Asynchronous Transfer Mode (ATM) network have been developed providing a basis for monitoring ATM networks performance for traffic and congestion control purposes ,providing a system with a reduce short -term congestion in ATM networks, and enhancing a fair operation of networks in spite of the challenges in designing ATM traffic management system to make maximal use of network resources. An IDCC scheme was implemented, applying IDCC methodology to the ATM Network. Using analysis performance, limits were created for robust controlled network behaviour, as dictated by reference values of the desired queue length. By tightly controlling output of the controller, the overall network performance was adjusted and also controlled. A simulation tool, MATLAB/SIMULINK, was used for this purpose. An improvement was observed in the delay performance of ATM networks. The results were obtained by running several simulations and populating a table with the outcome over a number of simulation runs. The effectiveness of the congestion control techniques was tested by analysing the dynamic performance of the model through variation of some parameters. The performance of this model proved to be efficient if applied in the ATM network of today.},
 year = {2015}
}

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TY  - JOUR
T1  - Modeling of Congestion and Traffic Control Techniques in ATM Networks
AU  - Bourdilllon Odianonsen Omijeh
AU  - Philip Ogah
Y1  - 2015/12/02
PY  - 2015
N1  - https://doi.org/10.11648/j.ajnc.20150406.11
DO  - 10.11648/j.ajnc.20150406.11
T2  - American Journal of Networks and Communications
JF  - American Journal of Networks and Communications
JO  - American Journal of Networks and Communications
SP  - 119
EP  - 128
PB  - Science Publishing Group
SN  - 2326-8964
UR  - https://doi.org/10.11648/j.ajnc.20150406.11
AB  - In this Paper, Computer – based Simulation models for effective Congestion control and Traffic management in Asynchronous Transfer Mode (ATM) network have been developed providing a basis for monitoring ATM networks performance for traffic and congestion control purposes ,providing a system with a reduce short -term congestion in ATM networks, and enhancing a fair operation of networks in spite of the challenges in designing ATM traffic management system to make maximal use of network resources. An IDCC scheme was implemented, applying IDCC methodology to the ATM Network. Using analysis performance, limits were created for robust controlled network behaviour, as dictated by reference values of the desired queue length. By tightly controlling output of the controller, the overall network performance was adjusted and also controlled. A simulation tool, MATLAB/SIMULINK, was used for this purpose. An improvement was observed in the delay performance of ATM networks. The results were obtained by running several simulations and populating a table with the outcome over a number of simulation runs. The effectiveness of the congestion control techniques was tested by analysing the dynamic performance of the model through variation of some parameters. The performance of this model proved to be efficient if applied in the ATM network of today.
VL  - 4
IS  - 6
ER  -

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Author Information

Bourdilllon Odianonsen Omijeh

Department of Electronic & Computer Engineering, University of Port Harcourt, Port Harcourt, Nigeria
Philip Ogah

Department of Electronic & Computer Engineering, University of Port Harcourt, Port Harcourt, Nigeria

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Plain Text BibTeX RIS

APA Style

Bourdilllon Odianonsen Omijeh, Philip Ogah. (2015). Modeling of Congestion and Traffic Control Techniques in ATM Networks. American Journal of Networks and Communications, 4(6), 119-128. https://doi.org/10.11648/j.ajnc.20150406.11

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ACS Style

Bourdilllon Odianonsen Omijeh; Philip Ogah. Modeling of Congestion and Traffic Control Techniques in ATM Networks. Am. J. Netw. Commun. 2015, 4(6), 119-128. doi: 10.11648/j.ajnc.20150406.11

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AMA Style

Bourdilllon Odianonsen Omijeh, Philip Ogah. Modeling of Congestion and Traffic Control Techniques in ATM Networks. Am J Netw Commun. 2015;4(6):119-128. doi: 10.11648/j.ajnc.20150406.11

Copy | Download

@article{10.11648/j.ajnc.20150406.11,
  author = {Bourdilllon Odianonsen Omijeh and Philip Ogah},
  title = {Modeling of Congestion and Traffic Control Techniques in ATM Networks},
  journal = {American Journal of Networks and Communications},
  volume = {4},
  number = {6},
  pages = {119-128},
  doi = {10.11648/j.ajnc.20150406.11},
  url = {https://doi.org/10.11648/j.ajnc.20150406.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnc.20150406.11},
  abstract = {In this Paper, Computer – based Simulation models for effective Congestion control and Traffic management in Asynchronous Transfer Mode (ATM) network have been developed providing a basis for monitoring ATM networks performance for traffic and congestion control purposes ,providing a system with a reduce short -term congestion in ATM networks, and enhancing a fair operation of networks in spite of the challenges in designing ATM traffic management system to make maximal use of network resources. An IDCC scheme was implemented, applying IDCC methodology to the ATM Network. Using analysis performance, limits were created for robust controlled network behaviour, as dictated by reference values of the desired queue length. By tightly controlling output of the controller, the overall network performance was adjusted and also controlled. A simulation tool, MATLAB/SIMULINK, was used for this purpose. An improvement was observed in the delay performance of ATM networks. The results were obtained by running several simulations and populating a table with the outcome over a number of simulation runs. The effectiveness of the congestion control techniques was tested by analysing the dynamic performance of the model through variation of some parameters. The performance of this model proved to be efficient if applied in the ATM network of today.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Modeling of Congestion and Traffic Control Techniques in ATM Networks
AU  - Bourdilllon Odianonsen Omijeh
AU  - Philip Ogah
Y1  - 2015/12/02
PY  - 2015
N1  - https://doi.org/10.11648/j.ajnc.20150406.11
DO  - 10.11648/j.ajnc.20150406.11
T2  - American Journal of Networks and Communications
JF  - American Journal of Networks and Communications
JO  - American Journal of Networks and Communications
SP  - 119
EP  - 128
PB  - Science Publishing Group
SN  - 2326-8964
UR  - https://doi.org/10.11648/j.ajnc.20150406.11
AB  - In this Paper, Computer – based Simulation models for effective Congestion control and Traffic management in Asynchronous Transfer Mode (ATM) network have been developed providing a basis for monitoring ATM networks performance for traffic and congestion control purposes ,providing a system with a reduce short -term congestion in ATM networks, and enhancing a fair operation of networks in spite of the challenges in designing ATM traffic management system to make maximal use of network resources. An IDCC scheme was implemented, applying IDCC methodology to the ATM Network. Using analysis performance, limits were created for robust controlled network behaviour, as dictated by reference values of the desired queue length. By tightly controlling output of the controller, the overall network performance was adjusted and also controlled. A simulation tool, MATLAB/SIMULINK, was used for this purpose. An improvement was observed in the delay performance of ATM networks. The results were obtained by running several simulations and populating a table with the outcome over a number of simulation runs. The effectiveness of the congestion control techniques was tested by analysing the dynamic performance of the model through variation of some parameters. The performance of this model proved to be efficient if applied in the ATM network of today.
VL  - 4
IS  - 6
ER  -

Copy | Download