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Fuzzy-Logic Based Active Queue Management Using Performance Metrics Mapping into Multi-Congestion Indicators Cover

Fuzzy-Logic Based Active Queue Management Using Performance Metrics Mapping into Multi-Congestion Indicators

Cybernetics and Information Technologies
Volume 21 (2021): Issue 2 (June 2021)
By: Mosleh M. Abualhaj,  Mayy M. Al-Tahrawi,  Abdelrahman H. Hussein and  Sumaya N. Al-Khatib  
Open Access
|Jul 2021

Authors

Mosleh M. Abualhaj

m.abualhaj@ammanu.edu.jo

Department of Networks and Information Security, Al-Ahliyya Amman University, Amman, Jordan

Mayy M. Al-Tahrawi

mtahrawi@ammanu.edu.jo

Department of Computer Science, Al-Ahliyya Amman University, Amman, Jordan

Abdelrahman H. Hussein

a.husein@ammanu.edu.jo

Department of Computer Science, Al-Ahliyya Amman University, Amman, Jordan

Sumaya N. Al-Khatib

sumayakh@ammanu.edu.jo

Department of Networks and Information Security, Al-Ahliyya Amman University, Amman, Jordan
DOI: https://doi.org/10.2478/cait-2021-0017 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 29 - 44
Submitted on: Nov 17, 2020
Accepted on: Feb 23, 2021
Published on: Jul 1, 2021
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Congestion control,
network performance,
active queue management,
fuzzy logic
Related subjects:
Computer sciences,
Information technology

© 2021 Mosleh M. Abualhaj, Mayy M. Al-Tahrawi, Abdelrahman H. Hussein, Sumaya N. Al-Khatib, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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