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A Cluster-Based Quality Aware Web System

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Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part II

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 430))

Abstract

Providing high quality of Web services is now very important for most of the services. In this article, we present the MLF (Most Loaded First) system, adaptive and intelligent cluster-based Web system. The MLF system provides Quality of Web Service (QoWS) on a fixed level, guaranteeing the page response time within established boundaries, even if Web servers are heavy loaded. We present experiments conducted on real cluster of Web servers and show that MLF system is more reliable than other examined systems.

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Authors and Affiliations

  1. Department of Electroengineering, Automatic Control and Computer Science, Opole University of Technology, ul. Prószkowska 76, 45-758, Opole, Poland

    Krzysztof Zatwarnicki, Maciej Płatek & Anna Zatwarnicka

Authors
  1. Krzysztof Zatwarnicki
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  2. Maciej Płatek
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  3. Anna Zatwarnicka
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Corresponding author

Correspondence to Krzysztof Zatwarnicki .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wrocław, Poland

    Adam Grzech

  2. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wroclaw, Poland

    Leszek Borzemski

  3. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wrocław, Poland

    Jerzy Świątek

  4. Faculty of Computer Science and Manageme, Wrocław University of Technology, Wrocła, Wrocław, Poland

    Zofia Wilimowska

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Zatwarnicki, K., Płatek, M., Zatwarnicka, A. (2016). A Cluster-Based Quality Aware Web System. In: Grzech, A., Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part II. Advances in Intelligent Systems and Computing, vol 430. Springer, Cham. https://doi.org/10.1007/978-3-319-28561-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-28561-0_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28559-7

  • Online ISBN: 978-3-319-28561-0

  • eBook Packages: EngineeringEngineering (R0)

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