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BA-MPCUBIC: Bottleneck-Aware Multipath CUBIC for Multipath-TCP.

Imtiaz Mahmud1, Tabassum Lubna1, Geon-Hwan Kim1

  • 1School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Korea.

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Summary

A new bottleneck-aware Multipath TCP Congestion Control Algorithm (BA-MPTCP CCA) improves data throughput and fairness. It differentiates shared and non-shared bottlenecks for better performance in dynamic networks.

Keywords:
coupled congestion controlcoupled multipath CUBICmultipath CUBICmultipath-TCPshared bottleneck detection

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Area of Science:

  • Computer Networking
  • Network Protocols
  • Performance Optimization

Background:

  • Multipath Transmission Control Protocol (MPTCP) aims to enhance throughput and fairness over single-path TCP (SPTCP).
  • Existing MPTCP Congestion Control Algorithms (CCAs) struggle to meet performance goals in diverse and dynamic network conditions.
  • The widely adopted CUBIC algorithm, when adapted for MPTCP (MPCUBIC), shows fairness but lacks throughput improvements.

Purpose of the Study:

  • To address the throughput limitations of current MPTCP CCAs, particularly MPCUBIC.
  • To develop an MPTCP CCA that can effectively differentiate between shared bottlenecks (SB) and non-shared bottlenecks (NSB).
  • To satisfy MPTCP's dual design goals of superior throughput over SPTCP and fair bandwidth allocation.

Main Methods:

  • Proposed a novel bottleneck-aware MPCUBIC (BA-MPCUBIC) algorithm.
  • Implemented an innovative bottleneck detection mechanism using round-trip time, enhanced congestion notification, and packet loss.
  • Applied SPTCP CUBIC for non-shared bottlenecks and MPCUBIC for shared bottlenecks within the BA-MPCUBIC framework.

Main Results:

  • BA-MPCUBIC achieved the highest detection accuracy and lowest detection time for shared and non-shared bottlenecks compared to other methods.
  • Extensive emulation experiments validated the algorithm's effectiveness in diverse and dynamic network scenarios.
  • The BA-MPCUBIC successfully improved throughput while maintaining fairness, meeting MPTCP's core objectives.

Conclusions:

  • BA-MPCUBIC effectively resolves the throughput issue in MPTCP by intelligently managing subflows based on bottleneck type.
  • The proposed bottleneck detection method provides a robust foundation for adaptive MPTCP congestion control.
  • BA-MPCUBIC demonstrates a viable solution for achieving both enhanced throughput and fairness in complex network environments.