Abstract
E-Learning data traffic characterization and modeling may bring important knowledge about the characteristics of that traffic. Without measurement, it is considered impossible to build realistic traffic models. We propose an analysis architecture employed for characterization and modeling using data mining techniques and mathematical models. The main problem is that real data traffic usually has to be measured in real time, saved, and later analyzed. The proposed architecture uses data from the application level. In this way the data logging process becomes a much easier task, with practically the same outcomes.
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Mihăescu, M.C. (2009). Using Mathematics for Data Traffic Modeling Within an E-Learning Platform.. In: Mastorakis, N., Mladenov, V., Kontargyri, V. (eds) Proceedings of the European Computing Conference. Lecture Notes in Electrical Engineering, vol 27. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-84814-3_35
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DOI: https://doi.org/10.1007/978-0-387-84814-3_35
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