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Information Technology Journal
  Year: 2012 | Volume: 11 | Issue: 2 | Page No.: 255-261
DOI: 10.3923/itj.2012.255.261
 
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Performance Assessment of AGRED, RED and GRED Congestion Control Algorithms

Mahmoud Baklizi, Hussein Abdel- jaber, Sureswaran Ramadass, Nibras Abdullah and Mohammed Anbar

Abstract:
With the recent rapid development in computer networks, congestion has become a critical issue. As a network term, congestion usually occurs when the incoming packets exceed the available network resources. This study proposed an Adaptive Gentle Random Early Detection (AGRED) algorithm based on Gentle Random Early Detection (GRED) algorithm in order to detect congestion at router buffer at a preliminary stage and thus enhance the parameter setting of the max threshold and the Dmax. The AGRED algorithm is simulated and compared with the original GRED and Random Early Detection (RED). The simulation results for the proposed AGRED, RED and GRED algorithms are carried out by varying the variable of packet arrival probability. During congestion, the simulation results reveal that AGRED offers marginally better performance results than RED and GRED, with regard to mean queue length, average queuing delay and packet loss probability due to overflow. Therefore, the AGRED is an effective method in controlling congestion at router buffers of networks. Whereby, improve networks performance.
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How to cite this article:

Mahmoud Baklizi, Hussein Abdel- jaber, Sureswaran Ramadass, Nibras Abdullah and Mohammed Anbar, 2012. Performance Assessment of AGRED, RED and GRED Congestion Control Algorithms. Information Technology Journal, 11: 255-261.

DOI: 10.3923/itj.2012.255.261

URL: https://scialert.net/abstract/?doi=itj.2012.255.261

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