As other complex systems in social and natural sciences as well as inengineering, the Internet is hard to understand from a technical pointof view. Packet switched networks defy analytical modeling. TheInternet is an outstanding and challenging case because of its fastdevelopment, unparalleled heterogeneity and the inherent lack ofmeasurement and monitoring mechanisms in its core conception.This monograph deals with applications of computational intelligencemethods, with an emphasis on fuzzy techniques, to a number of current issues in measurement, analysis and control of traffic in theInternet. First, the core building blocks of Internet Science andother related networking aspects are introduced. Then, data mining and control problems are addressed. In the first class two issues areconsidered: predictive modeling of traffic load as well assummarization of traffic flow measurements. The second class, control, includes active queue management schemes for Internet routers as well as window based end-to-end rate and congestion control. The practical hardware implementation of some of the fuzzy inference systems proposed here is also addressed. While some theoretical developments are described, we favor extensive evaluation of models using real-world data by simulation and experiments.

Mining and Control of Network Traffic by Computational Intelligence PDF

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