Summary
International Symposium on Nonlinear Theory and Its Applications
2022
Session Number:A2L-E
Session:
Number:A2L-E-03
Effects of a Nonlinear Packet Drop Probability Function on Red Performance
Kaito Kato , Hideyuki Kato , Hiroyuki Asahara , Daisuke Ito , Takuji Kousaka,
pp.45-48
Publication Date:12/12/2022
Online ISSN:2188-5079
Summary:
This paper introduces nonlinearity to the packet drop probability function of Random Early Detection (RED). The RED controls network congestions by actively managing a router's queue. We investigate the nonlinearity contribution to the network performance. The effects of the imposed nonlinearity on the RED performance are investigated under different traffic loads. When the network traffic is not too heavy, the RED with nonlinearity achieves better network performance than the original RED. This work suggests the performance improvement of networks by optimizing the nonlinearity degree of the packet drop probability.