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Discovering and Usage of Customer Knowledge in QoS Mechanism for B2C Web Server Systems

  • Conference paper
Knowledge-Based and Intelligent Information and Engineering Systems (KES 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6277))

Abstract

The paper deals with the problem of guaranteeing high Quality of Service (QoS) in e-commerce Web servers. We focus on the problem of request admission control and scheduling in a Business-to-Consumer (B2C) Web server from the profit perspective of the owner of an e-business company. We propose extending a Web server system with the ability to identify and favour key customers of a Web store and to ensure the possibility of successful interaction for all customers finalizing their purchase transactions. We propose applying a Recency-Frequency-Monetary analysis (RFM) to discover key customer knowledge and using the resulting RFM scores in a novel QoS mechanism. We discuss the mechanism and some simulation results of its performance.

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Author information

Authors and Affiliations

  1. Institute of Informatics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Leszek Borzemski

  2. Chair of Computer Science, Opole University of Technology, Sosnkowskiego 31, 45-272, Opole, Poland

    Grażyna Suchacka

Authors
  1. Leszek Borzemski
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  2. Grażyna Suchacka
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Editor information

Editors and Affiliations

  1. School of Engineering, The Parade, Cardiff University, CF24 3AA, Cardiff, UK

    Rossitza Setchi

  2. Dept. of Computer Science and Software Engineering, BUckingham Building, Lion Terrace, University of Portsmouth, PO1 3HE, Portsmouth, UK

    Ivan Jordanov

  3. KES International, 145-157 St. John Street, EC1V 4PY, London, UK

    Robert J. Howlett

  4. School of Electrical and Information Engineering, University of South Australia, Adelaide, Mawson Lakes Campus, 5095, SA, Australia

    Lakhmi C. Jain

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Borzemski, L., Suchacka, G. (2010). Discovering and Usage of Customer Knowledge in QoS Mechanism for B2C Web Server Systems. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15390-7_52

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  • DOI: https://doi.org/10.1007/978-3-642-15390-7_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15389-1

  • Online ISBN: 978-3-642-15390-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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