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Performance Analysis of Web Database Systems

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Database and Expert Systems Applications (DEXA 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1873))

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Abstract

Currently, Web database systems are widely used to construct Web sites for their excellent capability of providing on-line information. In this paper, we analyse the workflow of a Web database system dealing with a Web page request. After forwarding the data request to database servers, Web servers must wait until all or part of query result is sent back by the database server before proceeding to next step. This is a typical serial queuing system, which is not easy to model except the service-time distribution is exponential. We have classified the different cases and given an approximate method to model a Web database system. As the service time of database servers is a primary factor in determining the input characteristics of Web servers, it is very important to investigate the relationship between database servers and Web servers.

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Author information

Authors and Affiliations

  1. SCISM, South Bank University, 103 Borough Road, London, SE1 OAA, UK

    Yuanling Zhu & Kevin Lü

Authors
  1. Yuanling Zhu
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  2. Kevin Lü
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Editor information

Editors and Affiliations

  1. Department of Computing and Mathematical Sciences, Maritime Greenwich University Campus, 30 Park Row, London, SE10 9LS, UK

    Mohamed Ibrahim

  2. University of Linz, FAW, Altenbergerstr. 69, 4040, Linz, Austria

    Josef Küng

  3. Middlesex University, Bounds Green, London, UK

    Norman Revell

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© 2000 Springer-Verlag Berlin Heidelberg

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Zhu, Y., Lü, K. (2000). Performance Analysis of Web Database Systems. In: Ibrahim, M., Küng, J., Revell, N. (eds) Database and Expert Systems Applications. DEXA 2000. Lecture Notes in Computer Science, vol 1873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44469-6_75

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  • DOI: https://doi.org/10.1007/3-540-44469-6_75

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67978-3

  • Online ISBN: 978-3-540-44469-5

  • eBook Packages: Springer Book Archive

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