Research Article Open Access

AN EVENT DRIVEN SIMULATION FOR ADAPTIVE GENTLE RANDOM EARLY DETECTION (AGRED) ALGORITHM

Omid Seifaddini1, Azizol Abdullah1 and Shamala Subramaniam1
  • 1 Universiti Putra Malaysia, Malaysia
Journal of Computer Science
Volume 10 No. 10, 2014, 1939-1945

DOI: https://doi.org/10.3844/jcssp.2014.1939.1945

Submitted On: 25 February 2014 Published On: 13 May 2014

How to Cite: Seifaddini, O., Abdullah, A. & Subramaniam, S. (2014). AN EVENT DRIVEN SIMULATION FOR ADAPTIVE GENTLE RANDOM EARLY DETECTION (AGRED) ALGORITHM. Journal of Computer Science, 10(10), 1939-1945. https://doi.org/10.3844/jcssp.2014.1939.1945

Abstract

Simulations are used to find optimum answers for problems in wide areas. Active queue management algorithms such as RED, GRED, typically use simulators like ns2 which is an open source simulator or OPNET, OMNET which are commercial simulators. However, beside the benefits of using simulators like having defined modules, parameters. There are problems such as complexity, large integrated components and licensing cost. To have an ideal balance in mentioned benefits and problems and to further complement the repository of simulators, this study presents the description of a general-purpose programming language based discrete event simulation for active queue management. This research has focused at developing a discrete event simulator to implement one of active queue management algorithms which is called AGRED. The results showed that the developed simulator has successfully produced the same results with an average deviation of 1.5% as previous simulator in AGRED.

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Keywords

  • Discrete Event Simulation
  • Simulation
  • AGRED
  • Congestion Control
  • Queue Management