Overview
- Deals with applications of computational intelligence methods to a number of current issues in measurement, analysis and control of traffic in the internet
- Presents novel methods and addresses the hardware implementation of some of them
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 342)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
Keywords
About this book
As other complex systems in social and natural sciences as well as in engineering, the Internet is hard to understand from a technical point of view. Packet switched networks defy analytical modeling. The Internet is an outstanding and challenging case because of its fast development, unparalleled heterogeneity and the inherent lack of measurement and monitoring mechanisms in its core conception.
This monograph deals with applications of computational intelligence methods, with an emphasis on fuzzy techniques, to a number of current issues in measurement, analysis and control of traffic in the Internet. First, the core building blocks of Internet Science and other related networking aspects are introduced. Then, data mining and control problems are addressed. In the first class two issues are considered: predictive modeling of traffic load as well as summarization 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.
Authors and Affiliations
Bibliographic Information
Book Title: Mining and Control of Network Traffic by Computational Intelligence
Authors: Federico Montesino Pouzols, Diego R. Lopez, Angel Barriga Barros
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-18084-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-18083-5Published: 10 February 2011
Softcover ISBN: 978-3-642-42399-4Published: 05 October 2014
eBook ISBN: 978-3-642-18084-2Published: 05 February 2011
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVI, 309
Topics: Computational Intelligence, Artificial Intelligence, Communications Engineering, Networks, Information Systems Applications (incl. Internet)