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Evaluating MPTCP Congestion Control Algorithms: Implications for Streaming in Open Internet

Author

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  • Łukasz Piotr Łuczak

    (Institute of Information Technology, Lodz University of Technology, Politechniki 8, 93-590 Łódź, Poland)

  • Przemysław Ignaciuk

    (Institute of Information Technology, Lodz University of Technology, Politechniki 8, 93-590 Łódź, Poland)

  • Michał Morawski

    (Institute of Information Technology, Lodz University of Technology, Politechniki 8, 93-590 Łódź, Poland)

Abstract

In today’s digital era, the demand for uninterrupted and efficient data streaming is paramount across various sectors, from entertainment to industrial automation. While the traditional single-path solutions often fell short in ensuring rapid and consistent data transfers, Multipath TCP (MPTCP) emerges as a promising alternative, enabling simultaneous data transfer across multiple network paths. The efficacy of MPTCP, however, hinges on the choice of appropriate congestion control (CC) algorithms. Addressing the present knowledge gap, this research provides a thorough evaluation of key MPTCP CC algorithms in the context of streaming applications in open Internet environments. Our findings reveal that BALIA stands out as the most suitable choice for MPTCP streaming, adeptly balancing waiting time, throughput, and Head-of-Line blocking reduction. Conversely, the wVegas algorithm, with its delay-centric approach, proves less adequate for multipath streaming. This study underscores the imperative to fine-tune MPTCP for streaming applications, at the same time offering insights for future development areas and innovations.

Suggested Citation

  • Łukasz Piotr Łuczak & Przemysław Ignaciuk & Michał Morawski, 2023. "Evaluating MPTCP Congestion Control Algorithms: Implications for Streaming in Open Internet," Future Internet, MDPI, vol. 15(10), pages 1-17, October.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:10:p:328-:d:1253382
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    References listed on IDEAS

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    1. Yinfeng Wang & Longxiang Wang & Xiaoshe Dong, 2021. "An Intelligent TCP Congestion Control Method Based on Deep Q Network," Future Internet, MDPI, vol. 13(10), pages 1-14, October.
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