An Exponential Active Queue Management Method Based on Random Early Detection
Author
Source
Journal of Computer Networks and Communications
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Congestion is a key topic in computer networks that has been studied extensively by scholars due to its direct impact on a network’s performance.
One of the extensively investigated congestion control techniques is random early detection (RED).
To sustain RED’s performance to obtain the desired results, scholars usually tune the input parameters, especially the maximum packet dropping probability, into specific value(s).
Unfortunately, setting up this parameter into these values leads to good, yet biased, performance results.
In this paper, the RED-Exponential Technique (RED_E) is proposed to deal with this issue by dropping arriving packets in an exponential manner without utilizing the maximum packet dropping probability.
Simulation tests aiming to contrast E_RED with other Active Queue Management (AQM) methods were conducted using different evaluation performance metrics including mean queue length (mql), throughput (T), average queuing delay (D), overflow packet loss probability (PL), and packet dropping probability (DP).
The reported results showed that E_RED offered a marginally higher satisfactory performance with reference to mql and D than that found in common AQM methods in cases of heavy congestion.
Moreover, RED_E compares well with the considered AQM methods with reference to the above evaluation performance measures using minimum threshold position (min threshold) at a router buffer.
American Psychological Association (APA)
Abdel-Jaber, Hussein. 2020. An Exponential Active Queue Management Method Based on Random Early Detection. Journal of Computer Networks and Communications،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1182626
Modern Language Association (MLA)
Abdel-Jaber, Hussein. An Exponential Active Queue Management Method Based on Random Early Detection. Journal of Computer Networks and Communications No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1182626
American Medical Association (AMA)
Abdel-Jaber, Hussein. An Exponential Active Queue Management Method Based on Random Early Detection. Journal of Computer Networks and Communications. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1182626
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182626