Development of simulation model: An ethernet case study in heterogeneous environment

We present a novel approach for the measurement and estimation of network traffic utilization between network nodes in heterogeneous environment. We propose an enhanced equation to evaluate the performance of network interface via little law and queuing theories to improve the evaluation algorithm. To get accuracy results on the performance of simulation model, we verify and validate data from local area network (real network environment). We use network management tool to capture those data and Fluke Optiview device to generate traffic. As a result, this simulation model can provide a good approximation of the real traffic observed in the real network environment.

[1]  Alexandre Proutière,et al.  Statistical bandwidth sharing: a study of congestion at flow level , 2001, SIGCOMM.

[2]  Kevin L. Mills,et al.  Expand-ing confidence in network simulation , 2000 .

[3]  Donald F. Towsley,et al.  Fixed point approximations for TCP behavior in an AQM network , 2001, SIGMETRICS '01.

[4]  Stephen M. Mutula,et al.  Bandwidth bottlenecks at the University of Botswana: Complications for library, campus, and national development , 2005, Libr. Hi Tech.

[5]  Thomas Heinis,et al.  Developing scientific workflows from heterogeneous services , 2006, SGMD.

[6]  Aruna Seneviratne,et al.  Integrated Personal Mobility Architecture: A Complete Personal Mobility Solution , 2003, Mob. Networks Appl..

[7]  Zhaohao Sun,et al.  Internet/Web technology in higher education in China , 2004, IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings..

[8]  Ramón Puigjaner,et al.  Performance modelling of computer networks , 2003, LANC '03.

[9]  Osman Balci,et al.  Quality assessment, verification, and validation of modeling and simulation applications , 2004, Proceedings of the 2004 Winter Simulation Conference, 2004..

[10]  Wen-Kui Chang,et al.  Evaluating the Performance of a Web Site via Queuing Theory , 2002, ECSQ.

[11]  Georges Nogueira,et al.  Measurement based Validation of GPRS/EDGE Analytical Models , 2006, INFOCOM 2006.

[12]  Philippe Owezarski,et al.  Modeling Internet backbone traffic at the flow level , 2003, IEEE Trans. Signal Process..

[13]  J. Heidemann,et al.  Expanding confidence in network simulations , 2001, IEEE Netw..

[14]  Brian Tierney,et al.  System capability effects on algorithms for network bandwidth measurement , 2003, IMC '03.

[15]  Paul Barford,et al.  Self-configuring network traffic generation , 2004, IMC '04.

[16]  Masayoshi Ohashi,et al.  A Study on Formulation of the Ubiquitous Cloud Model , 2006, 7th International Conference on Mobile Data Management (MDM'06).

[17]  P. Podhradsky Migration scenarios and convergence processes towards NGN (present state and future trends) , 2004, Proceedings. Elmar-2004. 46th International Symposium on Electronics in Marine.

[18]  Philippe Owezarski,et al.  A flow-based model for internet backbone traffic , 2002, IMW '02.

[19]  Jong-Ok Lee,et al.  Architecture to be deployed on strategies of next-generation networks , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[20]  Anurag Kumar,et al.  Performance Analysis of TCP with Nonpersistent Sessions , 2007 .

[21]  Zhengyou He,et al.  WNN-based NGN traffic prediction , 2005, Proceedings Autonomous Decentralized Systems, 2005. ISADS 2005..

[22]  Fangchun Yang,et al.  A novel architecture to customer service management for the NGN , 2003, International Conference on Communication Technology Proceedings, 2003. ICCT 2003..

[23]  Thomas Bonald,et al.  Statistical bandwidth sharing: a study of congestion at flow level , 2001, SIGCOMM.

[24]  Iadh Ounis,et al.  Performance analysis of distributed information retrieval architectures using an improved network simulation model , 2007, Inf. Process. Manag..