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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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References

  1. Barford, P., Generating representative Web workloads for network and server performance evaluation. Proceedings of the ACM SIGMETRICS’98 Conference. ACM, June 1998.

    Google Scholar 

  2. Florescu, D., 1998. Database Techniques for the Wide Web: A Survey. SIGMOD Record 27(3): 59–74(1998)

    Article  Google Scholar 

  3. Florescu, D., 1999. Optimisation of Run-time Management of Data Intensive Web Sites. Proceedings of the 25th VLDB Conference, Edinburgh, Scotland, 1999

    Google Scholar 

  4. Kouvatsos, D.D., 1985. Maximum Entropy Methods for General Queueing Networks In D. Potire, editor, Modelling Techniques and Tools for Performance Analysis, Pages 589–608. North-Holland, Amsterdam, The Netherlands, 1985.

    Google Scholar 

  5. Kouvatsos, D.D., Denazis S.G., 1993, Entropy Maximised Queueing Networks with Blocking and Multiple Job Classes, Performance Evaluation 17(3): 189–205 (1993)

    Article  Google Scholar 

  6. Menasc, D., Almeida, V., 1998. Capacity Planning for Web Performance, Prentice Hall Publisher

    Google Scholar 

  7. Oracle Application Server Technical Document, 1999. http://technet.oracle.com

  8. Application Server Page Technical Document, http://msdn.microsoft.com/, 1999

  9. Slothouber, L., 1996. A model of Web Server Performance. http://louvx.biap.com/WebPerformance/modelpaper.html

  10. SPECweb99 Release 1.01 Specification, http://www.sprc.org/osg/web99/, 1999

  11. TPC BENCHMARK™ W (Web Commerce) Draft Specification, http://www.tpc.org/, November 19, 1999

  12. Vetter R., 1999. Web-based enterprise computing, Computer 5/1999.

    Google Scholar 

  13. Zhu Y., Lu, K.J. 2000, Web Databases and Related Performance Issues, Submit for publication.

    Google Scholar 

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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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