Practical Appraisal of Distinguish Active Queue Management Algorithms
نویسنده
چکیده
Abstract— The internet and its applications are an integral part of our daily life. Today’s Internet needs to provide Best Effort Service. With the rapid transformation of the Internet into a commercial infrastructure, demands for quality of service have rapidly developed. Traffic is processed as quickly as possible, but there is no guarantee of timelines or actual delivery. The people of the modern world are very much dependent on various network services like VOIP, Video Conferencing and File Transfer. So to prevent the problem of congestion control and synchronization, various active queue management (AQM) techniques are used. AQM algorithms execute on network routers and detect initial congestion by monitoring some functions. When congestion occurs on the link the AQM algorithm detects and provides signals to the end systems. The focus of this work is to study the behaviors of varied queue managements, including Drop-Tail, RED (Random Early Detection), REM (Random Exponential Marking), Blue and SFQ (Stochastic Fair Queuing). The performance metrics are used for comparison between these AQM techniques such as average throughput, number of packets lost, delivery ratio, average end to end delay and average jitter. The simulation is done using the network simulator (NS-2).
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تاریخ انتشار 2015