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End-to-End Adaptive Congestion Control in TCP/IP Networks (Paperback)
Loot Price: R2,590
Discovery Miles 25 900
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End-to-End Adaptive Congestion Control in TCP/IP Networks (Paperback)
Series: Automation and Control Engineering
Expected to ship within 12 - 19 working days
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Establishing adaptive control as an alternative framework to design
and analyze Internet congestion controllers, End-to-End Adaptive
Congestion Control in TCP/IP Networks employs a rigorously
mathematical approach coupled with a lucid writing style to provide
extensive background and introductory material on dynamic systems
stability and neural network approximation; alongside future
internet requests for congestion control architectures. Designed to
operate under extreme heterogeneous, dynamic, and time-varying
network conditions, the developed controllers must also handle
network modeling structural uncertainties and uncontrolled traffic
flows acting as external perturbations. The book also presents a
parallel examination of specific adaptive congestion control, NNRC,
using adaptive control and approximation theory, as well as
extensions toward cooperation of NNRC with application QoS control.
Features: Uses adaptive control techniques for congestion control
in packet switching networks Employs a rigorously mathematical
approach with lucid writing style Presents simulation experiments
illustrating significant operational aspects of the method;
including scalability, dynamic behavior, wireless networks, and
fairness Applies to networked applications in the music industry,
computers, image trading, and virtual groups by techniques such as
peer-to-peer, file sharing, and internet telephony Contains working
examples to highlight and clarify key attributes of the congestion
control algorithms presented Drawing on the recent research efforts
of the authors, the book offers numerous tables and figures to
increase clarity and summarize the algorithms that implement
various NNRC building blocks. Extensive simulations and comparison
tests analyze its behavior and measure its performance through
monitoring vital network quality metrics. Divided into three parts,
the book offers a review of computer networks and congestion
control, presents an adaptive congestion control framework as an
alternative to optimization methods, and provides appendices
related to dynamic systems through universal neural network
approximators.
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