The Network Traffic Management Based on Queuing Theory

Article Preview

Abstract:

Traffic management can improve QoS of the network, the exist well-known algorithm for the network traffic management has some problems in the sensitive degree and the network reliability, using queuing theory build up the basic M/M/1 model for the network traffic management, obtaining the network traffic forecasting ways and the stable congestion rate formula, combining the general network traffic monitor parameters, realizing the estimation and monition process for the network traffic rationally. By testing the algorithm, we know that queuing theory can optimize the network traffic, it’s convenient and simple for calculating and monitoring the network traffic properly.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

4721-4725

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] WANG Ting; WANG Yu. Survey on a Queue Theory Based Handover Scheme for UAVS Communication Network. Chinese Journal of Sensors and Actuators, 2007, 04.

Google Scholar

[2] LI Da-qi1, SHEN Jun-yi. Queuing Theory Supervising K-Means Clustering Algorithm and ITS Application in Optimized Design of TTC Network . Journal of Astronautics, 2007, 03.

Google Scholar

[3] Han Jing, Guo Fang, Shi Jinhua. Research on the traffic management of the distributed network based on human immune al-gorithm. Microcomputer Information, 2007, 18.

Google Scholar

[4] WANG Pei-fa, ZHANG Shi-wei1, LI Jun. The Application and Achievement of SVG in Network Netflow Monitor Field. Microelectronics & Computer, 2005, 04.

Google Scholar

[5] RER Xiangcai, XIONG Qibang. An Application of Mobile Agent for IP Network Traffic Management . Computer Engineering, 2002, 11.

Google Scholar

[6] Davison B D. A Web Caching Primer. IEEE InternetComputing, 2001, 5(4).

Google Scholar

[7] Guo Yang, Gong Weibo, Don Towsley. Timestepped Hybrid Simulation (TSHS) for Large Scale Networks. In: Proceedings of IEEE Infocom 2000. Israel: IEEE, (2000).

DOI: 10.1109/infcom.2000.832217

Google Scholar

[8] Jong Suk Ahn, Peter B Danzig. Packet Network Simulation: Speedup and Accuracy Versus Timing Granularity. IEEE/ACM Trans on Networking, 1996, 4(5).

DOI: 10.1109/90.541322

Google Scholar

[9] Vern Paxson, Sally Floyd. Why We Don' t Know How ToSimulate the Internet. In: Proceedings of the 1997 Winter Simulation Conference. USA: ACM, (1997).

DOI: 10.1145/268437.268737

Google Scholar

[10] Gunther N. The Practical Performance Analyst. New York: McGraw-Hill, (1998).

Google Scholar

[11] ITU-T G. 729A. Coding of Speech at 8 kbps Using Conjugate-Structure Algebraic Code-excited Linear-prediction Coding. USA: ITU-T, (1998).

Google Scholar