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Neuro-Fuzzy Models in Global HTTP Request Distribution

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6421))

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Abstract

In the paper, the new method GARD of HTTP request distribution, in globally distributed clusters of Web Servers, is presented. The method described uses neuro-fuzzy models, enabling the estimation of the HTTP request response time. Both, the description of the method and the research environment as well as the obtained results are described in the paper.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering, Automatic Control and Computer Science, The Opole University of Technology, Opole, Poland

    Krzysztof Zatwarnicki

Authors
  1. Krzysztof Zatwarnicki
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, 415 Chien-Kung Road, 807, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, #43, Sec.4, Keelung Rd., 106, Taipei, Taiwan

    Shyi-Ming Chen

  3. Institute of Informatics, Wroclaw University of Technology, Str. Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

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Zatwarnicki, K. (2010). Neuro-Fuzzy Models in Global HTTP Request Distribution. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6421. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16693-8_1

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  • DOI: https://doi.org/10.1007/978-3-642-16693-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16692-1

  • Online ISBN: 978-3-642-16693-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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