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DOI: 10.14569/IJACSA.2025.0160211
PDF

Performance Evaluation and Selection of Appropriate Congestion Control Algorithms for MPT Networks

Author 1: Naseer Al-Imareen
Author 2: Gábor Lencse

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 2, 2025.

  • Abstract and Keywords
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Abstract: Recent academic research highlights a growing interest in multipath technologies, which offer promising solutions to networking challenges in complex environments. This interest is reflected in the emergence of protocols such as Multipath TCP (MPTCP) and Multipath UDP-in-GRE (MPT-GRE). The development of network protocols, particularly various iterations of the Transmission Control Protocol (TCP), has been distinguished by congestion detection and control algorithms, such as HighSpeed, CUBIC, Reno, LP, BBR, and Illinois. This paper evaluates the performance and suitability of these algorithms for multipath MPT-GRE networks under varying conditions, including delay, jitter, and data loss at different transmission speeds (both symmetric and asymmetric). Using StarBED resources, we applied delay, jitter, or packet loss to one of two physical paths to simulate congestion. The results demonstrate that some algorithms, HighSpeed and BBR among them, significantly enhance Quality of Service (QoS) metrics and network throughput in multipath MPT-GRE networks. These findings provide valuable insights into their performance and practical applications.

Keywords: Packet loss; congestion control; MPT-GRE; delay; throughput; jitter

Naseer Al-Imareen and Gábor Lencse, “Performance Evaluation and Selection of Appropriate Congestion Control Algorithms for MPT Networks” International Journal of Advanced Computer Science and Applications(IJACSA), 16(2), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160211

@article{Al-Imareen2025,
title = {Performance Evaluation and Selection of Appropriate Congestion Control Algorithms for MPT Networks},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160211},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160211},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {2},
author = {Naseer Al-Imareen and Gábor Lencse}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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