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Evaluation of Congestion Protocols with Simulated Traffic
Author(s) -
Shugang Liu
Publication year - 2018
Publication title -
destech transactions on computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2475-8841
DOI - 10.12783/dtcse/csae2017/17469
Subject(s) - random early detection , active queue management , computer science , network packet , computer network , network congestion , queue , quality of service , throughput , packet loss , drop (telecommunication) , protocol (science) , fairness measure , real time computing , telecommunications , wireless , medicine , alternative medicine , pathology
Congestion control is very important to maintain the number of packets within the network for higher performance. Active queue management (AQM) has been proved to be more efficient than traditional ones. Although some improvements have been made to Random Early Detection (RED) algorithm, but RED is not widely deployed. In this paper we design a network model using RED/drop-tail protocol and simulate it. From the simulation results we found that the RED proactive discarding can provide low delay and proportional dropping fairness. But when RED is used, little more packets are lost and the throughput is a bit lower but very close to that when drop tail is used, RED will offer higher QoS in some aspects.

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