Realization of congestion avoidance algorithm on self-similar traffic network
Zhu Guojun · Computer Engineering and Applications Journal · 2008
Random Early Detection algorithm in traditional field of congestion avoidance is based on Poisson model,thus it is not adapted to the traffic of self-similar.In this paper,based on self-similar traffic,we propose a RED algorithm,BIRED(Based on Interval Random Early Detection).According to the self-similarity,by controlling the average queue length,the BIRED can help the network avoiding congestion.Comparing the BIRED and RED about the dynamic performance,the BIRED is superior in robustly.As evident from the simulation,the BIRED performs more better,adapt to the self-similar traffic,controlling the average queue length,illustrating improved transient performance.