Performance analysis of RED for stabilized queue

In this paper, our aim is to stabilize an Active Queue Management (AQM) Algorithm that aims to achieve low loss rate and high throughput as well as high link utilization. We have tried to study about stabilization of Random Early Detection (RED) for different models. Further, we have presented comparative performance analysis of existing stabilized models with our modified RED. The key idea is to modify the existing RED algorithm to achieve stabilization in Queue length at routers with reduced loss rate as compared to RED. The probability marking function of RED has been modified according to two different functions and the results and effects on various performance parameters like Queue length, throughput, delay etc have been shown in our paper. In this paper, RED and modified RED have been studied to achieve better stabilization of queue size with low loss rate and comparable throughput.