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QoE-Oriented Fairness Control for DASH Systems Based on the Hierarchical Structure of SVC Streams

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Computer Networks (CN 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 608))

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Abstract

Nowadays, multimedia content is the basis of most popular network services. At the same time, adaptive video streaming is becoming more widely used method for delivering such content to end users. The main purpose of the mechanisms of adaptation is to maximize the usage of network resources while ensuring the best quality of transmitted video. The implementation of adaptation, however, has a serious drawback of not considering the mutual influence of simultaneous transmission of multiple video streams. In this article, we propose a method of the QoE-oriented fairness control for DASH systems which uses a new utility function. This function based on a hierarchical structure of a SVC video stream. The properties of this solution were evaluated in a test environment that uses SDN principles. Functional features of the proposed control method were compared with standard algorithm of the adaptation used by DASH supported devices.

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Author information

Authors and Affiliations

  1. Lublin University of Technology, 38A Nadbystrzycka Street, 20-618, Lublin, Poland

    Slawomir Przylucki & Dariusz Czerwinski

  2. Lodz University of Technology, 116 Zeromskiego Street, 90-924, Lodz, Poland

    Artur Sierszen

Authors
  1. Slawomir Przylucki
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  2. Dariusz Czerwinski
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  3. Artur Sierszen
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Corresponding author

Correspondence to Slawomir Przylucki .

Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Piotr Gaj

  2. Silesian University of Technology, Gliwice, Poland

    Andrzej Kwiecień

  3. Silesian University of Technology, Gliwice, Poland

    Piotr Stera

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Przylucki, S., Czerwinski, D., Sierszen, A. (2016). QoE-Oriented Fairness Control for DASH Systems Based on the Hierarchical Structure of SVC Streams. In: Gaj, P., Kwiecień, A., Stera, P. (eds) Computer Networks. CN 2016. Communications in Computer and Information Science, vol 608. Springer, Cham. https://doi.org/10.1007/978-3-319-39207-3_16

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  • DOI: https://doi.org/10.1007/978-3-319-39207-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39206-6

  • Online ISBN: 978-3-319-39207-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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