TY - CHAP
T1 - Inference systems for network traffic control
AU - Pouzols, Federico Montesino
AU - Lopez, Diego R.
AU - Barros, Angel Barriga
PY - 2011
Y1 - 2011
N2 - This chapter deals with control of network traffic in routers as well as end-to-end flows. First it is proposed an scheme for implementing end-to-end traffic control mechanisms through fuzzy inference systems. A comparative evaluation of simulation and implementation results from the fuzzy rate controler as compared to that of traditional TCP flow and rate control mechanisms is performed for a wide set of realistic scenarios. Then, fuzzy inference systems for traffic control in routers are designed. A particular proposal has been evaluated in realistic scenarios and is shown to be robust. The proposal is compared against the random early detection (RED) scheme. It is experimentally shown that fuzzy systems can provide better performance and better adaptation to different requirements with mechanisms that are easy to modify using linguistic knowledge.
AB - This chapter deals with control of network traffic in routers as well as end-to-end flows. First it is proposed an scheme for implementing end-to-end traffic control mechanisms through fuzzy inference systems. A comparative evaluation of simulation and implementation results from the fuzzy rate controler as compared to that of traditional TCP flow and rate control mechanisms is performed for a wide set of realistic scenarios. Then, fuzzy inference systems for traffic control in routers are designed. A particular proposal has been evaluated in realistic scenarios and is shown to be robust. The proposal is compared against the random early detection (RED) scheme. It is experimentally shown that fuzzy systems can provide better performance and better adaptation to different requirements with mechanisms that are easy to modify using linguistic knowledge.
UR - http://www.scopus.com/inward/record.url?scp=79952076514&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-18084-2_5
DO - 10.1007/978-3-642-18084-2_5
M3 - Chapter
AN - SCOPUS:79952076514
SN - 9783642180835
VL - 342
T3 - Studies in Computational Intelligence
SP - 191
EP - 262
BT - Mining and Control of Network Traffic by Computational Intelligence
ER -