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Fuzzy Model of Dynamic Traffic Management in Software-Defined Mobile Networks

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (ruSMART 2016, NEW2AN 2016)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 9870))

Abstract

Nowadays, in mobile networks, latency-sensitive services may compete for the bandwidth of other services, thus degrading overall performance. Software-defined mobile networks opening many new possibilities for dynamic traffic management. This gives chances to ensure strict requirements of the service quality in changing conditions. We considered two requirements for the quality of service: bandwidth and latency. Providing the required bandwidth is relatively simple compared to the end-to-end delay, as its guarantee requires a complex model that takes into account the mutual influence of flows throughout the entire path. Our model includes the following metrics: maximum channel utilization, traffic priority, the number of “hops”. Fuzzy balancer module has been developed for the Floodlight controller in Java. This module calculates the weights of the links in accordance with the proposed method. Simulation network was held in Mininet environment. During the experimental implementation, it has been shown that simple algorithm based on mathematical apparatus of fuzzy logic allows dynamically adapting the network to the change of the traffic volume, as well as its structure.

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Notes

  1. 1.

    LTE – Long-Term Evolution.

  2. 2.

    QoS – Quality of Service.

  3. 3.

    FIFO – First In First Out.

  4. 4.

    WFQ – Weighted Fair Queueing.

  5. 5.

    HTB – Hierarchical Token Bucket.

  6. 6.

    WRR – Weighted Round Robin.

  7. 7.

    NP-hard – Non-deterministic polynomial-time hard.

  8. 8.

    BW min – Minimal bandwidth.

  9. 9.

    BW max – Maximal bandwidth.

  10. 10.

    OWA-operator – Ordered Weighted Averaging aggregation Operator.

  11. 11.

    VLC – VideoLAN Client.

  12. 12.

    TCP – Transmission Control Protocol.

  13. 13.

    HTTP – HyperText Transfer Protocol.

  14. 14.

    UDP – User Datagram Protocol.

References

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Author information

Authors and Affiliations

  1. The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Saint-Petersburg, Russia

    Andrei Vladyko, Ivan Letenko & Anton Lezhepekov

  2. Saint-Petersburg University of State Fire Service of EMERCON of Russia, Saint-Petersburg, Russia

    Mikhail Buinevich

Authors
  1. Andrei Vladyko
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  2. Ivan Letenko
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  3. Anton Lezhepekov
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  4. Mikhail Buinevich
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Corresponding author

Correspondence to Ivan Letenko .

Editor information

Editors and Affiliations

  1. Tampere University of Technology , Tampere, Finland

    Olga Galinina

  2. FRUCT Oy , Helsinki, Finland

    Sergey Balandin

  3. Tampere University of Technology , Tampere, Finland

    Yevgeni Koucheryavy

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© 2016 Springer International Publishing AG

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Vladyko, A., Letenko, I., Lezhepekov, A., Buinevich, M. (2016). Fuzzy Model of Dynamic Traffic Management in Software-Defined Mobile Networks. In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2016 2016. Lecture Notes in Computer Science(), vol 9870. Springer, Cham. https://doi.org/10.1007/978-3-319-46301-8_47

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  • DOI: https://doi.org/10.1007/978-3-319-46301-8_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46300-1

  • Online ISBN: 978-3-319-46301-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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