DMCA
A Comparative Analysis of Queue Management Techniques using NS-2 Simulator
BibTeX
@MISC{Mahida_acomparative,
author = {P. T. Mahida and Kinjal Patel and Nayan Vanza and Siddharth Patel},
title = {A Comparative Analysis of Queue Management Techniques using NS-2 Simulator},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Effectively and fairly allocating resources to the competing users in a network is a major issue to meet the demand for higher performance nowadays. Queue management enhances the efficiency of transfers and cooperates with Transmission Control Protocol (TCP) in adapting the intense flow of the congestion in the network. The shared resources of a network are bandwidth of the link and queues on the routers and switches. As too many packets are queued awaiting transmission, the queues overflow and the packets have to be dropped which results into congestion. The queue management algorithm, which is applied to a router, plays an important role in providing Quality of Service (QoS). In this paper, we have presented a simulation based comparison and evaluation of four popular queue management schemes: Stochastic Fair Queuing (SFQ), Random Early Detection (RED), Random Exponential Marking (REM) and Droptail in terms of packet drop rate and delay. Simulation is done using Network Simulator (ns2.34) Our Simulation results indicate that REM performed better in terms of packet drop rate and RED performs better in terms of end-to-end delay.
Keyphrases
ns-2 simulator queue management technique comparative analysis packet drop rate many packet queue management end-to-end delay performance nowadays popular queue management scheme shared resource important role queue management algorithm red performs network simulator transmission control protocol random early detection simulation result random exponential marking stochastic fair queuing allocating resource major issue intense flow
