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Two-Layer Cloud-Based Web System

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Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018 (ISAT 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 852))

Abstract

Providing high quality of Web services is now very important for most of the services. The application of cloud computing in Web systems enables lower costs and increases efficiency and reliability. In the paper we present a design of two-layer decision-making method in a cloud-based Web system TLCWS (Two-Layer Cloud-based Web System). It uses the neuro-fuzzy approach to enable the distribution of HTTP requests. The proposed method is design to minimize the response time of each request. The simulation experiments show that the proposed approach is more than just adequate and that it is possible to shorten the response time required for requests significantly.

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Author information

Authors and Affiliations

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

    Krzysztof Zatwarnicki & Anna Zatwarnicka

Authors
  1. Krzysztof Zatwarnicki
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  2. Anna Zatwarnicka
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Corresponding author

Correspondence to Krzysztof Zatwarnicki .

Editor information

Editors and Affiliations

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

    Leszek Borzemski

  2. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Jerzy Świątek

  3. University of Applied Sciences in Nysa, Nysa, Poland

    Zofia Wilimowska

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Zatwarnicki, K., Zatwarnicka, A. (2019). Two-Layer Cloud-Based Web System. In: Borzemski, L., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018. ISAT 2018. Advances in Intelligent Systems and Computing, vol 852. Springer, Cham. https://doi.org/10.1007/978-3-319-99981-4_12

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