Download Mining and Control of Network Traffic by Computational Intelligence PDF Free - Full Version
Download Mining and Control of Network Traffic by Computational Intelligence by Federico Montesino Pouzols, Diego R. Lopez, Angel Barriga Barros (auth.) in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Mining and Control of Network Traffic by Computational Intelligence
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.
Detailed Information
| Author: | Federico Montesino Pouzols, Diego R. Lopez, Angel Barriga Barros (auth.) |
|---|---|
| Publication Year: | 2011 |
| ISBN: | 9783642180835 |
| Pages: | 328 |
| Language: | English |
| File Size: | 5.935 |
| Format: | |
| Price: | FREE |
Safe & Secure Download - No registration required
Why Choose PDFdrive for Your Free Mining and Control of Network Traffic by Computational Intelligence Download?
- 100% Free: No hidden fees or subscriptions required for one book every day.
- No Registration: Immediate access is available without creating accounts for one book every day.
- Safe and Secure: Clean downloads without malware or viruses
- Multiple Formats: PDF, MOBI, Mpub,... optimized for all devices
- Educational Resource: Supporting knowledge sharing and learning
Frequently Asked Questions
Is it really free to download Mining and Control of Network Traffic by Computational Intelligence PDF?
Yes, on https://PDFdrive.to you can download Mining and Control of Network Traffic by Computational Intelligence by Federico Montesino Pouzols, Diego R. Lopez, Angel Barriga Barros (auth.) completely free. We don't require any payment, subscription, or registration to access this PDF file. For 3 books every day.
How can I read Mining and Control of Network Traffic by Computational Intelligence on my mobile device?
After downloading Mining and Control of Network Traffic by Computational Intelligence PDF, you can open it with any PDF reader app on your phone or tablet. We recommend using Adobe Acrobat Reader, Apple Books, or Google Play Books for the best reading experience.
Is this the full version of Mining and Control of Network Traffic by Computational Intelligence?
Yes, this is the complete PDF version of Mining and Control of Network Traffic by Computational Intelligence by Federico Montesino Pouzols, Diego R. Lopez, Angel Barriga Barros (auth.). You will be able to read the entire content as in the printed version without missing any pages.
Is it legal to download Mining and Control of Network Traffic by Computational Intelligence PDF for free?
https://PDFdrive.to provides links to free educational resources available online. We do not store any files on our servers. Please be aware of copyright laws in your country before downloading.
The materials shared are intended for research, educational, and personal use in accordance with fair use principles.
