Abstract
Due to the substantial growth of communication network in last years, the access to the Internet network is crucial for the society. Therefore, there is a necessity of research on Web systems forecasting. This work presents a proposal of the application of the geostatistical estimation - the Kriging method, which give spatio-temporal information about forecast of network throughput. The database was created on the basis of Multiagent Internet Measurement System MWING. In the research the connections between an agent in Gdańsk and European serverswere considered. The preliminary structural analysis of the data, which are necessary to use the Kriging method was conducted. Next a spatial forecast of the total time of downloading data from Web servers with a four days time advance was calculated. The results were analyzed and comparedwith other simulationmethods results from the same database.
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Borzemski, L., Kamińska-Chuchmała, A. (2013). Web Performance Forecasting with Kriging Method. In: Ali, M., Bosse, T., Hindriks, K., Hoogendoorn, M., Jonker, C., Treur, J. (eds) Contemporary Challenges and Solutions in Applied Artificial Intelligence. Studies in Computational Intelligence, vol 489. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00651-2_20
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DOI: https://doi.org/10.1007/978-3-319-00651-2_20
Publisher Name: Springer, Heidelberg
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