Mining and Control of Network Traffic by Computational Intelligence

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 h...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Pouzols, Federico Montesino (Συγγραφέας), Lopez, Diego R. (Συγγραφέας), Barros, Angel Barriga (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
Σειρά:Studies in Computational Intelligence, 342
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03498nam a22005175i 4500
001 978-3-642-18084-2
003 DE-He213
005 20151204165317.0
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020 |a 9783642180842  |9 978-3-642-18084-2 
024 7 |a 10.1007/978-3-642-18084-2  |2 doi 
040 |d GrThAP 
050 4 |a Q342 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
082 0 4 |a 006.3  |2 23 
100 1 |a Pouzols, Federico Montesino.  |e author. 
245 1 0 |a Mining and Control of Network Traffic by Computational Intelligence  |h [electronic resource] /  |c by Federico Montesino Pouzols, Diego R. Lopez, Angel Barriga Barros. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2011. 
300 |a XVI, 309 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 342 
505 0 |a Internet Science -- Modeling time series by means of fuzzy inference systems -- Predictive models of network traffic load -- Summarization and analysis of network traffic flow records -- Inference Systems for Network Traffic Control -- Open FPGA-Based Development Platform for Fuzzy Inference Systems. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Computational intelligence. 
650 0 |a Electrical engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Information Systems Applications (incl. Internet). 
700 1 |a Lopez, Diego R.  |e author. 
700 1 |a Barros, Angel Barriga.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642180835 
830 0 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 342 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-18084-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)