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International Conference on Multimedia, Computer Graphics, and Broadcasting

MulGraB 2011: Multimedia, Computer Graphics and Broadcasting pp 1–9Cite as

Resource Management for Scalable Video Using Adaptive Bargaining Solution

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 262))

Abstract

This paper proposes a method of providing scalable video service to multiple users by managing resources with Adaptive Bargaining Solution. The Adaptive Bargaining Solution, which is a mixture of two bargaining solutions, Nash Bargaining Solution (NBS) and Kalai-Smorodinsky Bargaining Solution (KSBS), are the method of allocating resource in order to guarantee system efficiency and fairness, respectively. This paper shows how to exploit the merits of both solutions by applying different bargaining solutions according to time varying total resources and different rate-quality performance of SVC content. Not only the minimum quality, but also the system efficiency can be guaranteed at an adequate level. In addition, we propose an adaptive bargaining power determination method which solves unfairness according to the available resources varying and difference of rate-quality performance between scalable video contents.

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References

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Author information

Authors and Affiliations

  1. Kyung Hee University, 1 Seocheon-dong, Ciheung-gu, Yongin-si, Gyeonggi-do, 446-701, Republic of Korea

    Yonghun Lee, Jae-Yoon Jung & Doug Young Suh

Authors
  1. Yonghun Lee
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  2. Jae-Yoon Jung
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  3. Doug Young Suh
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Department of Computer and Information Science, University of Michigan – Dearborn, 4901 Evergreen Road, 48128, Dearborn, MI, USA

    William I. Grosky

  4. Florida International University, EC 2910, 10555 W. Flagler Street, 33174, Miami, FL, USA

    Niki Pissinou

  5. National Taipei University of Education, No.134, Sec. 2, Heping E. Rd., Da-an District, 106, Taipei City, Taiwan, R.O.C.

    Timothy K. Shih

  6. Michigan State University, 48824-1226, East Lansing, MI, USA

    Edward J. Rothwell

  7. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

  8. Dept of IT, Hansei University, 604-5, Dangjung-Dong, Gunpo-Si, Gyunggi-Do, Korea

    Seung-Jung Shin

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Lee, Y., Jung, JY., Suh, D.Y. (2011). Resource Management for Scalable Video Using Adaptive Bargaining Solution. In: Kim, Th., et al. Multimedia, Computer Graphics and Broadcasting. MulGraB 2011. Communications in Computer and Information Science, vol 262. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27204-2_1

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  • DOI: https://doi.org/10.1007/978-3-642-27204-2_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27203-5

  • Online ISBN: 978-3-642-27204-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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