University of Bahrain
Scientific Journals

Reconfigurable Nonlinear GRED Algorithm

Show simple item record AL-Allaf, Ahmad Jabbar, A. I. A. 2020-08-29T23:22:29Z 2020-08-29T23:22:29Z 2020-09-01
dc.identifier.issn 2210-142X
dc.description.abstract In this paper, a reconfigurable queuing scheme based on Gentle Random Early Dropping (GRED) algorithm has been proposed. Two nonlinear GRED algorithms have been suggested to study the effect of maximum threshold (maxth) and maximum dropping probability (maxp) in the GRED algorithm. In both algorithms, the nonlinearity degree of the two parts of the dropping probability curve of the GRED algorithm is computed to prevent the discontinuity between them. After that, a third algorithm (called Reconfigurable Nonlinear GRED “RNLGRED”) is proposed. This algorithm uses the reconfigurability technique to select the best nonlinearity configuration between the first two proposed algorithms. A simulation carried out in OPNET shows that the proposed RNLGRED algorithm achieves a significant reduction in the queuing delay, jitter, and average queue size when compared with the classical GRED scheme. The reduction in queuing delay, jitter, and average queue size, for example in scenario-1, is up to 40%, 40%, and 35% respectively according to the implemented scenario. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject GRED Algorithm, Queuing Schemes, Reconfigurable Queuing Algorithm en_US
dc.title Reconfigurable Nonlinear GRED Algorithm en_US
dc.volume 9 en_US
dc.issue 5 en_US
dc.pagestart 1009 en_US
dc.pageend 1022 en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

Files in this item

The following license files are associated with this item:

This item appears in the following Issue(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 International Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International

All Journals

Advanced Search


Administrator Account