Optimization of Computer Networks

This book covers the design and optimization of computer networks by applying a rigorous optimization methodology, applicable to any network technology. It is organized into two parts.

In Part 1, the reader will learn how to model network problems appearing in computer networks as optimization programs and use optimization theory to gain insights into them. Four problem types are addressed systematically – traffic routing, capacity dimensioning, congestion control, and topology design.

Part 2 targets the design of algorithms that solve network problems like the ones modeled in Part 1. Two main approaches are addressed: gradient-like algorithms that inspire distributed network protocols dynamically adapting to the network, or cross-layer schemes coordinating cooperation among protocols; and those focusing on the design of heuristic algorithms for long-term static network design and planning problems.

Following a hands-on approach, the reader will have access to a large set of examples in real-life technologies like IP, wireless, and optical networks. Implementations of models and algorithms will be available in the open-source Net2Plan tool, allowing users to see how lessons learned take real form in algorithms, and reuse or execute them to obtain numerical solutions.

An accompanying link to the author’s own Net2Plan software enables readers to produce numerical solutions to a multitude of real-life problems in computer networks. Visit www.net2plan.com for more information.