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International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2010: Trends in Applied Intelligent Systems pp 347–356Cite as

Prediction of Web Goodput Using Nonlinear Autoregressive Models

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6097))

Abstract

The performance prediction is a key part of the modern network traffic engineering. In this paper we present the application of nonlinear autoregressive modeling to the prediction of goodput level in web transactions. We propose the two-stage approach, with clustering step on historical data, prior to classification, to determine the most appropriate traffic intensity levels. Our study is based on the data collected by the MWING system, an ensemble of web performance measurement agents, and cover over a year of continuous observations of a group of HTTP servers.

This work was partially supported by the Polish Ministry of Science and Higher Education under Grant No. N516 032 31/3359 (2006—2009).

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Author information

Authors and Affiliations

  1. Institute of Informatics, Wrocław University of Technology, Wrocław, Poland

    Maciej Drwal & Leszek Borzemski

Authors
  1. Maciej Drwal
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  2. Leszek Borzemski
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Editor information

Editors and Affiliations

  1. Dept. of Computing and Numerical Analysis, University of Cordoba, Campus Universitario de Rabanales, Einstein Building, 3rd floor,, 14071, Cordoba, Spain

    Nicolás García-Pedrajas

  2. Dept. of Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    Francisco Herrera

  3. School of Computing, University of the West of Scotland, PA1 2BE, Paisley, UK

    Colin Fyfe

  4. Dept. Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    José Manuel Benítez

  5. Department of Computer Science, Texas State University-San Marcos, 601 University Drive, TX 78666-4616, San Marcos, USA

    Moonis Ali

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© 2010 Springer-Verlag Berlin Heidelberg

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Drwal, M., Borzemski, L. (2010). Prediction of Web Goodput Using Nonlinear Autoregressive Models. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13025-0_37

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  • DOI: https://doi.org/10.1007/978-3-642-13025-0_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13024-3

  • Online ISBN: 978-3-642-13025-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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