SARED: A Self-Adaptive Active Queue Management Scheme for Improving Quality of Service in Network Systems

Considering the phenomenal growth of network systems, congestion remains a threat to quality service provided in such hence, research on control is still relevant. Internet community regards Active Queue Management (AQM) as an effective approach address systems. Most existing AQM schemes possess static drop patterns and lack self-adaptation mechanism, don’t work well for networks where traffic load fluctuates. This paper proposes Self-Adaptive Random Early Detection (SARED) scheme which smartly adapts its pattern based current network’s order maintain better stable performance. In light moderate conditions, SARED operates nonlinear modes maximize utilization throughput, while high condition, it switches linear mode avoid forced drops congestion. Experiments conducted have revealed that regardless load’s provides optimal