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Springer - Mining and Control of Network Traffic (Vol 342)

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Description

Understanding the Internet presents a significant challenge for engineers and scientists alike. Because packet switched networks defy traditional analytical modeling, managing their fast development and heterogeneity requires advanced approaches. This monograph from Springer provides a deep look into the measurement, analysis, and control of network traffic through the lens of computational intelligence. As a part of the Studies in Computational Intelligence series, volume 342 addresses the inherent lack of monitoring mechanisms in the core conception of the Internet. The text focuses on practical applications of computational intelligence methods, with a specific focus on fuzzy techniques. This resource is designed for those working in social and natural sciences, as well as engineering, who need to navigate the complexities of modern network environments. By applying these advanced methods, readers can better understand and manage the technical difficulties presented by today's complex digital systems.

Key Features

Explores computational intelligence methods for managing complex packet switched networks.

Focuses on the application of fuzzy techniques to solve current network traffic issues.

Addresses the challenges of measurement and monitoring in modern Internet architecture.

Provides technical insights into the analysis and control of heterogeneous network traffic.

Part of the recognized Studies in Computational Intelligence series by Springer.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
10 February 2011
Listed Since
29 November 2010

Barcode

No barcode data available

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