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Data Traffic Monitoring and Analysis pp 337–358Cite as

Approaches for Utility-Based QoE-Driven Optimization of Network Resource Allocation for Multimedia Services

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7754))

Abstract

Taking jointly into account end-user QoE and network resource allocation optimization provides new opportunities for network and service providers in improving user perceived service performance. In this chapter, we discuss state-of-the-art with regards to QoE-driven utility-based optimization of network resource allocation, in particular related to multimedia services. We present two general types of approaches: those which are primarily user-centric and those which are primarily network-centric. Finally, we provide a comparison of the analyzed approaches and present open issues for future research.

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Author information

Authors and Affiliations

  1. FER, University of Zagreb, Croatia

    Lea Skorin-Kapov & Krunoslav Ivesic

  2. National Technical University of Athens, Greece

    Giorgos Aristomenopoulos & Symeon Papavassiliou

Authors
  1. Lea Skorin-Kapov
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  2. Krunoslav Ivesic
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  3. Giorgos Aristomenopoulos
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  4. Symeon Papavassiliou
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Editor information

Editors and Affiliations

  1. Networking and Security Department, Eurécom, 450 Route des Chappes, 06410, Biot, France

    Ernst Biersack

  2. Department of Information Engineering, University of Pisa, Via Caruso 16, 56122, Pisa, Italy

    Christian Callegari

  3. Facults of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000, Zagreb, Croatia

    Maja Matijasevic

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Skorin-Kapov, L., Ivesic, K., Aristomenopoulos, G., Papavassiliou, S. (2013). Approaches for Utility-Based QoE-Driven Optimization of Network Resource Allocation for Multimedia Services. In: Biersack, E., Callegari, C., Matijasevic, M. (eds) Data Traffic Monitoring and Analysis. Lecture Notes in Computer Science, vol 7754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36784-7_14

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  • DOI: https://doi.org/10.1007/978-3-642-36784-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36783-0

  • Online ISBN: 978-3-642-36784-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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