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...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2011.
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| Series: | Studies in Computational Intelligence,
342 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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.
