Mining and Control of Network Traffic by Computational Intelligence

• Main Authors: Pouzols, Federico Montesino (Author), Lopez, Diego R. (Author), Barros, Angel Barriga (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Series: Studies in Computational Intelligence, 342
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Electrical engineering.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Communications Engineering, Networks.; Information Systems Applications (incl. Internet).

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...

Table of Contents:

• 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.