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Priority Service Provisioning and Max–Min Fairness: A Utility-Based Flow Control Approach

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Abstract

In this paper, a novel priority assignment scheme is proposed for priority service networks, in which each link sets its own priority threshold, namely, the lowest priority the link is willing to support for the incoming packets without causing any congestion. Aiming at a reliable transmission, the source then assigns each originated packet the maximum priority value required along its path, because links may otherwise discard the incoming packets which do not meet the corresponding priority requirements. It is shown that if each source sends the traffic at a rate that is reciprocal to the specified highest priority, a bandwidth max–min fairness is achieved in the network. Furthermore, if each source possesses a utility function of the available bandwidth and sends the traffic at a rate so that the associated utility is reciprocal to the highest link priority, a utility max–min fairness is achieved. For general networks without priority services, the resulting flow control strategy can be treated as a unified framework to achieve either bandwidth max–min fairness or utility max–min fairness through link pricing policy. More importantly, the utility function herein is only assumed to be strictly increasing and does not need to satisfy the strictly concave condition, the new algorithms are thus not only suitable for the traditional data applications with elastic traffic, but are also capable of handling real-time applications in the Future Internet.

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Notes

  1. For the scalability, it can be further assumed that \(0\le U_{s}(x_{s})\le 1\) and \(U_{s}(M_{s})=1\).

  2. Here we use a deterministic approach to estimate the buffer dynamics, and assume the updating time interval is 1. Otherwise

    $$b_{l}(t)=\left[ b_{l}(t-1)+ \mathsf{time\_interval}\left( x^{l}(t)-c_{l}\right) \right] ^{+}$$

    and this only results in a weighting coefficient change from \(\gamma\) to \(\gamma /\mathsf{time\_interval}\) in the new link algorithm (20).

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Acknowledgments

This work was supported by Swinburne University of Technology under the Early Research Career Scheme 2014. It is also partly supported by funding from the Faculty of Engineering and Information Technologies, The University of Sydney, under the Faculty Research Cluster Program.

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Authors and Affiliations

  1. School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, 3122, Australia

    Jiong Jin

  2. Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC, 3010, Australia

    Marimuthu Palaniswami

  3. School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, 2008, Australia

    Dong Yuan

  4. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Yu-Ning Dong

  5. Institute for Communication Systems, University of Surrey, Guildford, GU2 7XH, UK

    Klaus Moessner

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  1. Jiong Jin
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  2. Marimuthu Palaniswami
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  3. Dong Yuan
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  4. Yu-Ning Dong
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  5. Klaus Moessner
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Correspondence to Jiong Jin.

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Jin, J., Palaniswami, M., Yuan, D. et al. Priority Service Provisioning and Max–Min Fairness: A Utility-Based Flow Control Approach. J Netw Syst Manage 25, 397–415 (2017). https://doi.org/10.1007/s10922-016-9395-7

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  • DOI: https://doi.org/10.1007/s10922-016-9395-7

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