DocumentCode
2969209
Title
Congestion control of Tcp/Aqm networks: Does the simulation tool change results?
Author
Alvarez, Teresa ; Salim, Anuar ; Bolajraf, Mohamed
Author_Institution
Dept. of Eng. Sci. & Autom. Control, Univ. of Valladolid, Valladolid, Spain
fYear
2009
fDate
8-11 Dec. 2009
Firstpage
1800
Lastpage
1804
Abstract
The simulation of congestion control algorithms of TCP networks is discussed in this paper. Simulation is a widespread procedure for testing and understanding how real systems evolve. Internet has a great impact in our society. Everyone wants fast and reliable links, but sometimes congestion happens because the network delay and the number of users fluctuate from one moment to the next. There are different approaches for dealing with congestion: classical (such as drop tail or RED) or process control techniques (PID, predictive control or fuzzy). Future engineers need to learn about this topic. So it seems logical to use simulation, but which tools should we use? This paper presents a comparison using three different simulation programs: Matlab, EcosimPro and ns-2. Results show that, depending on what we want, we should choose different tools.
Keywords
IP networks; Internet; discrete event simulation; queueing theory; telecommunication computing; telecommunication congestion control; transport protocols; EcosimPro; Internet; Matlab; TCP/AQM networks; active queue management; congestion control algorithms; discrete event simulation; network delay; ns-2; process control techniques; simulation tool; transmission control protocol; Automatic control; Communication system control; Computational modeling; Control systems; Internet; Mathematical model; Power system modeling; Reliability engineering; Telecommunication control; Three-term control; PID; TCP/AQM; congestion control; continuous simulation; discrete-event simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-4869-2
Electronic_ISBN
978-1-4244-4870-8
Type
conf
DOI
10.1109/IEEM.2009.5373172
Filename
5373172
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