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An Upward Max-Min Fairness Multipath Flow Control

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Abstract

Many rate allocation algorithms for multipath flows which satisfy max-min fairness are centralized and not scalable. Upward max-min fairness is a well-known relaxation of max-min fairness and can be achieved by an algorithm extended from water-filling algorithm. In this paper, we propose a price-based multipath congestion control protocol whose equilibrium point satisfies upward max-min fairness. Our protocol is derived from a network utility maximization model for multipath flows.

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Acknowledgements

This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 102.02-2015.36. Dr. Tuan-Anh Le is the corresponding author.

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Authors and Affiliations

  1. School of Computer Science and Engineering, International University - VNUHCM, Ho Chi Minh City, Vietnam

    Phuong L. Vo

  2. Faculty of Engineering and Technology, Thu Dau Mot University, Thu Dau Mot, Vietnam

    Tuan-Anh Le

  3. School of Information Technologies, The University of Sydney, Sydney, NSW 2006, Australia

    Nguyen H. Tran

Authors
  1. Phuong L. Vo
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  2. Tuan-Anh Le
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  3. Nguyen H. Tran
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Correspondence to Phuong L. Vo.

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Vo, P.L., Le, TA. & Tran, N.H. An Upward Max-Min Fairness Multipath Flow Control. Mobile Netw Appl 25, 1174–1177 (2020). https://doi.org/10.1007/s11036-019-01436-y

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  • DOI: https://doi.org/10.1007/s11036-019-01436-y

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