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An Agent Architecture for Strategy-Centric Adaptive QoS Control in Flexible Videoconference System

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Approaches to Intelligence Agents (PRIMA 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1733))

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Abstract

In this paper, we propose an agent architecture to improve flexibility of a videoconference system with strategy-centric adaptive QoS (Quality of Service) control mechanism. The proposed architecture realizes more flexibility by changing their QoS control strategies dynamically. To switch the strategies, system considers the properties of problems occurred on QoS and status of problem solving process. This architecture is introduced as a part of knowledge base of agent that deals with cooperation between software module of videoconference systems. We have implemented the mechanism, and our prototype system shows its capability of flexible problem solving against the QoS degradation, along with other possible problems within the given time limitation. Thus we confirmed that the proposed architecture can improve its flexibility of a videoconference system compare to traditional systems.

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Author information

Authors and Affiliations

  1. Research Institute of Electrical Communication / Graduate School of Information Sciences, Tohoku University, Japan

    Takuo Suganuma, SungDoke Lee, Takuji Karahashi, Tetsuo Kinoshita & Norio Shiratori

Authors
  1. Takuo Suganuma
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  2. SungDoke Lee
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  3. Takuji Karahashi
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  4. Tetsuo Kinoshita
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  5. Norio Shiratori
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Editor information

Editors and Affiliations

  1. Electrotechnical Laboratories, Umezono 1-1-4, Tsukuba, Ibaraki, 305-0045, Japan

    Hideyuki Nakashima

  2. Deakin University Geelong, Scool of Computing and Mathematics, Victoria 3217, Australia

    Chengqi Zhang

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© 1999 Springer-Verlag Berlin Heidelberg

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Suganuma, T., Lee, S., Karahashi, T., Kinoshita, T., Shiratori, N. (1999). An Agent Architecture for Strategy-Centric Adaptive QoS Control in Flexible Videoconference System. In: Nakashima, H., Zhang, C. (eds) Approaches to Intelligence Agents. PRIMA 1999. Lecture Notes in Computer Science(), vol 1733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46693-2_17

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  • DOI: https://doi.org/10.1007/3-540-46693-2_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66823-7

  • Online ISBN: 978-3-540-46693-2

  • eBook Packages: Springer Book Archive

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