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Transactions on Computational Collective Intelligence XII pp 89–107Cite as

Web Server Support for e-Customer Loyalty through QoS Differentiation

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Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 8240))

Abstract

The paper deals with the problem of offering predictive service in e-commerce Web server systems under overload. Due to unpredictability of Web accesses, such systems often fail to effectively handle peak traffic, which results in long delays and incomplete transactions. As a consequence, online retailers miss an opportunity to attract new customers, retain the loyalty of regular customers, and increase profits. We propose a method for priority-based admission control and scheduling of requests at the Web server system in order to differentiate Quality of Service (QoS) with regard to user-perceived delays, i.e., Web page response times provided by the system (as opposed to HTTP request response times). To detect and cope with the system overload, a new kind of a load indicator is proposed, based on online measurements of page response times. Simulation results demonstrate that our solution is capable of providing key customers with limited delays while improving QoS for ordinary customers under heavy load.

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Author information

Authors and Affiliations

  1. Institute of Mathematics and Informatics, Opole University, Oleska 48, 45-052, Opole, Poland

    Grażyna Suchacka

  2. Institute of Informatics, Wrocław University of Technology, Janiszewskiego 11/17, 50-370, Wrocław, Poland

    Leszek Borzemski

Authors
  1. Grażyna Suchacka
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  2. Leszek Borzemski
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Editors and Affiliations

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

    Ngoc Thanh Nguyen

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Suchacka, G., Borzemski, L. (2013). Web Server Support for e-Customer Loyalty through QoS Differentiation. In: Nguyen, N.T. (eds) Transactions on Computational Collective Intelligence XII. Lecture Notes in Computer Science, vol 8240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53878-0_5

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  • DOI: https://doi.org/10.1007/978-3-642-53878-0_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53877-3

  • Online ISBN: 978-3-642-53878-0

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