Research Paper | Computer Science & Engineering | India | Volume 4 Issue 6, June 2015
Effect of Load and Threshold Variation on Performance of RED: Random Early Detection
Kiran Chhabra | Manali Kshirsagar | Arun Zadgaonkar
Abstract: To support end to end control mechanisms in Internet Active Queue Management (AQM) is proposed. Random Early Detection (RED) is one such prominent congestion avoidance mechanism in Internet architecture. Since it is proposed in 1993 several modification and enhancements have been made so as to make it more responsive for congestion avoidance. RED parameter setting has a great impact on its performance In this paper we are investigating the effect of varying threshold parameter and additionally updating average queue size value depending on current queue value. We are analyzing the impact of these changes using network simulator ns-2 and got improved results in terms of packet loss, throughput, better link utilization. Using extensive simulation our strategy evolution demonstrates superiority over original RED. .
Keywords: Active queue Management AQM, Average queue size, Network Simulator ns-2, Random Early Detection RED and Threshold
Edition: Volume 4 Issue 6, June 2015,
Pages: 1187 - 1192
How to Cite this Article?
Kiran Chhabra, Manali Kshirsagar, Arun Zadgaonkar, "Effect of Load and Threshold Variation on Performance of RED: Random Early Detection", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB155311, Volume 4 Issue 6, June 2015, 1187 - 1192, #ijsrnet
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