<p>Provides a modern mathematical approach to the design of communication networks for graduate students, blending control, optimization, and stochastic network theories. A broad range of performance analysis tools are discussed, including important advanced topics that have been made accessible to students for the first time. Taking a top-down approach to network protocol design, the authors begin with the deterministic model and progress to more sophisticated models. Network algorithms and protocols are tied closely to the theory, illustrating the practical engineering applications of each topic. The background behind the mathematical analyses is given before the formal proofs and is supported by worked examples, enabling students to understand the big picture before going into the detailed theory. End-of-chapter problems cover a range of difficulties, with complex problems broken into several parts, and hints to many problems are provided to guide students. Full solutions are available online for instructors.</p>

Communication Networks: An Optimization, Control, and Stochastic Networks Perspective

Computers & Technology

Srikant, R.

Ying, Lei

Networking & Cloud Computing

Cambridge University Press

The Internet is a very large network with a complex array of control algorithms designed to facilitate data transfer by the users who use it everyday. Network Optimization and Control is aimed at understanding how such control algorithms can be designed for both wired and wireless networks. The approach is primarily based on optimization and control theory, and studies the problem in terms of designing controllers that would make optimal use of network resources. These controllers can be translated into protocols for computers that allow the Internet with many millions of flows to harmoniously adapt to changing traffic loads while maintaining good performance. Network Optimization and Control is the ideal starting point for a mature reader with little background on the subject of congestion control to understand the basic concepts underlying network resource allocation. Though self-contained in itself, there is also an extensive reference list that the interested reader could consult to obtain a deeper understanding of the topics covered. By providing a foundation for understanding the analytical approach to congestion control, the authors hope to encourage both analysts and systems designers to work in synergy while developing protocols for the future Internet.

Network Optimization and Control

Shakkottai, Srinivas Govindaraju

Computer Science

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