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...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2011. |
| Col·lecció: | Studies in Computational Intelligence
342 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Mining and Control of Network Traffic by Computational Intelligence, Federico Montesino Pouzols, Diego R. Lopez and Angel Barriga Barros, Berlin, Heidelberg, Springer, 2011, 1 vol. (XVI-309 p.), Studies in Computational Intelligence, 978-3-642-18083-5 |
| LEADER | 03685nam a22003257a 4500 | ||
|---|---|---|---|
| 001 | 968349 | ||
| 008 | 110415q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN151585903 | ||
| 020 | |a 9783642180842 | ||
| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 100 | 1 | |a Montesino Pouzols, Federico. | |
| 245 | 1 | 0 | |a Mining and Control of Network Traffic by Computational Intelligence |c by Federico Montesino Pouzols, Diego R. Lopez, Angel Barriga Barros. |
| 250 | |a 1st ed. 2011. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 342 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 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 | ||
| 776 | 0 | |0 152160647 |t Mining and Control of Network Traffic by Computational Intelligence |f Federico Montesino Pouzols, Diego R. Lopez and Angel Barriga Barros |c Berlin, Heidelberg |n Springer |d 2011 |p 1 vol. (XVI-309 p.) |s Studies in Computational Intelligence |z 978-3-642-18083-5 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-18084-2 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-0GK371K9-M |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:750621567 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-18084-2 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:753979373 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-18084-2 |z Accès INSA CVL | |
| 997 | |0 968349 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||