Abstract
In this article, we describe a novel proposal for the spatio-temporal Web performance forecasting using one of the geostatistical methods – Sequential Gaussian Simulation (SGS). Necessary data were obtained from Multiagent Internet Measurement System – MWING, which monitored web transactions issued by MWING’s agent located in Las Vegas, US and targeting web servers in Europe. Data contains the measurements, which were taken every day at the same time: at 06:00 a.m., 12:00 a.m. and 6:00 p.m. during the period of May, 2009. First, the preliminary analysis of measurement data was conducted. Next, the structural analysis, which includes directional variogram approximated with the theoretical model, was performed. Subsequently, the spatial forecast (from one week in advance) of total time of downloading data from Web servers was calculated. The analysis of server activity on a particular weekday for a period of a few weeks in selected time intervals and considered forecasted errors was performed. Finally, the results of forecast were analyzed in detail, followed by the determination of subsequent research directions to improve Web performance forecasts.
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References
Kamińska-Chuchmała, A., Wilczyński, A.: Spatial electric load forecasting in transmission networks with Sequential Gaussian Simulation method. Rynek Energii 1(92), 35–40 (2011) (in Polish)
Tarantola, A.: Inverse Problem Theory and Methods for Model Parameter Estimation. In: SCIAM Society for Industrial and Applied Mathematics, Philadelphia (2005)
King, S.L.: Sequential Gaussian simulation vs. simulated annealing for locating pockets of high-value commercial trees in Pennsylvania. Annals of Operations Research 95, 177–203 (2000)
Bohling, G.: Stochastic simulation and reservoir modeling workflow. C&PE, 940 (2005)
Gertner, G.: Comparison of Computationally Intensive Spatial Statistical Methods for Generating Inputs for Spatially Explicit Error Budgets. In: IUFRO 4.11 Conference, Greenwich (2001)
Hansen, T.M., Journel, A.G., Tarantola, A., Mosegaard, K.: Linear Inverse Gaussian theory and geostatistics. Geophysics 71(6) (November-December 2006)
Hicks, P.J.: Unconditional sequential Gaussian simulation for 3-D flow in a heterogeneous core. Journal of Petroleum Science and Engineering 16, 209–219 (1996)
Wang, G., Gertner, G.Z., Parysow, P., Anderson, A.B.: Spatial prediction and uncertainty analysis of topographical factors for the Revised Universal Soil Loss Equation (RUSLE). Journal of Soil and Water Conservation (3rd Quarter 2000)
Borzemski, L.: The experimental design for data mining to discover web performance issues in a Wide Area Network. Cybernetics and Systems: An International Journal 41, 31–45 (2010)
Borzemski, L., Cichocki, Ł., Fraś, M., Kliber, M., Nowak, Z.: MWING: A Multiagent System for Web Site Measurements. In: Nguyen, N.T., Grzech, A., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2007. LNCS (LNAI), vol. 4496, pp. 278–287. Springer, Heidelberg (2007)
Borzemski, L., Nowak, Z.: Using autonomous system topological information in a Web server per-formance prediction. Cybernetics and Systems 39(7), 753–769 (2008)
Borzemski, L., Kamińska-Chuchmała, A.: 3D Web Performance Forecasting Using Turning Bands Method. In: Kwiecień, A., Gaj, P., Stera, P. (eds.) CN 2011. CCIS, vol. 160, pp. 102–113. Springer, Heidelberg (2011)
Borzemski, L., Kamińska-Chuchmała, A.: Spatial Web Performance Forecasting with Sequential Gaussian Simulation Method. In: Information Systems Architecture and Technology, pp. 37–46. Oficyna Wydawnicza PWr, Wrocław (2011)
Borzemski, L., Kamińska-Chuchmała, A.: Knowledge Discovery about Web Performance with Geostatistical Turning Bands Method. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.) KES 2011, Part II. LNCS, vol. 6882, pp. 581–590. Springer, Heidelberg (2011)
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Borzemski, L., Kamińska-Chuchmała, A. (2012). Spatio-temporal Web Performance Forecasting with Sequential Gaussian Simulation Method. In: Kwiecień, A., Gaj, P., Stera, P. (eds) Computer Networks. CN 2012. Communications in Computer and Information Science, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31217-5_12
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DOI: https://doi.org/10.1007/978-3-642-31217-5_12
Publisher Name: Springer, Berlin, Heidelberg
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