Non-linear model of Computer Networks

Authors

  • Gyula Max Budapest University of Technology and Economics, Department of Automation and Applied Informatics, H-1521, Budapest, POB. 91.

Keywords:

non-linear system analysis, computer networks, simulation

Abstract

Dataflow in computer networks can not be described as a linear system. To simulate behaviours of these systems are also difficult, because these systems show non-linear features. Before implementing network equipments users want to know capabilities of their computer networks. They want to know what happens when the servers are overloaded, when temporary traffic peaks occur or when more requests arrive than the server can serve. We established a system model to study the non-linear behaviours of dataflow in the computer networks planned. This paper presents setting up a non-linear simulation model that helps us to study dataflow problems of the networks.

Author Biography

  • Gyula Max, Budapest University of Technology and Economics, Department of Automation and Applied Informatics, H-1521, Budapest, POB. 91.

    max@aut.bme.hu

References

Bhole, Y., Popescu A. (2005): Measurement and Analysis of HTTP Traffic. Journal of Network and Systems Management, 13. 4. 357–371. https://doi.org/10.1007/s10922-005-9000-y

Chuang, J. C.-I., Sirbu M. A. (2001). Pricing Multicast Communication: A Cost-Based Approach, Telecommunication Systems 17. 3. 281–297. https://doi.org/10.1023/A:1016695006342

Du, H. F., Xiao, Y., Xu D. Y. (2005). Nonlinear stability analysis for active queue management, Proceedings of the IEEE International Symposium on Communications and Information Technology (ISCIT’2005), 2005, 2., 1314–1317. https://doi.org/10.1109/ISCIT.2005.1567109

Galkin, A. M., Simonina, O. A., Yanovsky G. G. (2006). Multiservice IP Network QoS Parameters Estimation in Presence of Self-similar Traffic, NEW2AN 2006, LNCS 4003, 235–245. https://doi.org/10.1007/11759355_23

Haifeng, D., Yang, X., Lingyun L. (2008). An Effective Network Congestion Control Method For Multilayer Network, Journal Of Electronics (China), 25. 4. 488–494. https://doi.org/10.1007/s11767-006-0258-3

Jiang J., Papavassiliou S. (2004). Detecting Network Attacks in the Internet via Statistical Network Traffic Normality Prediction. Journal of Network and Systems Management, 12. 1. 51–72. https://doi.org/10.1023/B:JONS.0000015698.32353.61

Kihl, M., Robertsson, A., Wittenmark, B. (2003). Performance modelling and control of server systems using non-linear control theory, Proceedings of the 18th International Teletraffic Congress

Kihl, M., Robertsson, A., Wittenmark, B. (2004). Control theoretic modelling and design of admission control mechanisms for server systems, Proceedings of IFIP Networking. https://doi.org/10.1007/978-3-540-24693-0_120

Low, S.H., Paganini, F., Wang, J., Adlakha, S., Doyle, J.C. (2002). Dynamics of TCP/RED and a scalable control, Proceedings of IEEE INFOCOM 02, New York, USA, 2002.

Mansour, M. A., Scrimali L. (2008). Hölder continuity of solutions to elastic traffic network models, J. Glob. Optim. 40. 175–184. https://doi.org/10.1007/s10898-007-9190-9

Paxson, V., Floyd, S. (1995). Wide area traffic: the failure of Poisson modelling, IEEE/ACM Transactions on Networking, 3. 3. 226–244. https://doi.org/10.1109/90.392383

Péter T. (2007) Analysis of large scale transportation networks, (Nagyméretű közlekedési hálózatok analízise) MMA Conference, Symposium, Budapest, (2007)

Sidiroglou, S., Giovanidis, G., Keromytis A.D. (2005). A Dynamic Mechanism for Recovering from Buffer Overflow Attacks, J. Zhou et al. (Eds.): ISC 2005, LNCS 3650, 1–15. https://doi.org/10.1007/11556992_1

Published

2010-12-15

How to Cite

Max, G. (2010). Non-linear model of Computer Networks. Acta Agraria Kaposváriensis, 14(3), 15-23. https://journal.uni-mate.hu/index.php/aak/article/view/1953

Most read articles by the same author(s)