Research Article
Fuzzy Three Time Scale Congestion Controller
@INPROCEEDINGS{10.1007/978-3-642-32573-1_6, author={Mehdi Mohtashamzadeh and Mohsen Soryani}, title={Fuzzy Three Time Scale Congestion Controller}, proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers}, proceedings_a={SPIT \& IPC}, year={2012}, month={10}, keywords={Self similarity multi time scale long range dependency fuzzy congestion control}, doi={10.1007/978-3-642-32573-1_6} }- Mehdi Mohtashamzadeh
Mohsen Soryani
Year: 2012
Fuzzy Three Time Scale Congestion Controller
SPIT & IPC
Springer
DOI: 10.1007/978-3-642-32573-1_6
Abstract
Although loss rate, length of the queues in the routers and throughput are affected by self similar property of traffic, but classic congestion control algorithms work in short time scales and do not consider self similarity and long range (time) dependency phenomenon of data. To profit these properties, researchers have proposed several methods. Multi time scale congestion control is one of the successful ways to adapt with self similar traffic and predict network status. In this research, a three part structure has been implemented in which second and third parts take advantage of fuzzy engines. Results show throughput improvement in case of using fuzzy three time scale controller instead of a two time scale controller or a classic controller such as New Reno.
