Study of Active Queue Management Algorithms
نویسندگان
چکیده
The focus of this work is to study the behaviors of varies queue managements, including RED (Random Early Detection), SRED (Stabilized-RED), and BLUE. The performance metrics of the comparison are queue size, the drop probability, and link utilization. The simulation is done using NS-2. The results of this work shows that different from the RED, SRED and BLUE, which use the available queue length as the indicator of the severity of congestion, they use packet loss and link idle events to manage the congestion. Thus SRED and BLUE achieve significant better performance in terms of packet loss rates and buffer size requirement in the Network. Finally we report a new queue management, SBQ (Stochastic Blue Queue management), which enforce fairness among a large number of flows.
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