Evaluation of the Performance for IM-RED and IGRED Algorithms using Discrete-time Queues
Hussein Abdel-Jaber, Jawad Hasan Alkhateeb, Malak El-Amir
Abstract
Hussein Abdel-Jaber, Jawad Hasan Alkhateeb, Malak El-Amir
Abstract
Active Queue Management (AQM) algorithms mainly aim to control congested networks. Managing the congestion situation leads to offer better performance for the networks. Both Improved Gentle Random Early Detection (IGRED) and Improved RED (IM-RED) algorithms are compared in this paper. The comparison is conducted to find out which algorithm presents better performance between IM-RED and IGRED. The results demonstrate that IGRED provides more acceptable results for the following parameters: the mean queue length (mql), the average queueing delay (D) and the overflow packet loss probability (PLoss) during the occurrence of the congestion. According to this congestion, fewer packets where dropped using the IM-RED prior filling the buffer.
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Active Queue Management (AQM) algorithms mainly aim to control congested networks. Managing the congestion situation leads to offer better performance for the networks. Both Improved Gentle Random Early Detection (IGRED) and Improved RED (IM-RED) algorithms are compared in this paper. The comparison is conducted to find out which algorithm presents better performance between IM-RED and IGRED. The results demonstrate that IGRED provides more acceptable results for the following parameters: the mean queue length (mql), the average queueing delay (D) and the overflow packet loss probability (PLoss) during the occurrence of the congestion. According to this congestion, fewer packets where dropped using the IM-RED prior filling the buffer.
Key concepts: Active queue management, Random early detection, Computer science, Network congestion, Queue, Algorithm, Queueing theory, Packet loss