Distributed Graph Algorithms for Computer Networks

Presents a comprehensive review of key distributed graph algorithms for computer network applications
Describes in detail the implementation of each algorithm, and discusses their concrete network applications
Includes practical exercises at the end of each chapter, and a simple simulator developed to run distributed algorithms
Graph theory is an invaluable tool for the designer of algorithms for distributed systems.
This hands-on textbook/reference presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Each chapter opens with a concise introduction to a specific problem, supporting the theory with numerous examples, before providing a list of relevant algorithms. These algorithms are described in detail from conceptual basis to pseudocode, complete with graph templates for the stepwise implementation of the algorithm, followed by its analysis. The chapters then conclude with summarizing notes and programming exercises.
Topics and features:
Introduces a range of fundamental graph algorithms, covering spanning trees, graph traversal algorithms, routing algorithms, and self-stabilization
Reviews graph-theoretical distributed approximation algorithms with applications in ad hoc wireless networks
Describes in detail the implementation of each algorithm, with extensive use of supporting examples, and discusses their concrete network applications
Examines key graph-theoretical algorithm concepts, such as dominating sets, and parameters for mobility and energy levels of nodes in wireless ad hoc networks, and provides a contemporary survey of each topic
Presents a simple simulator, developed to run distributed algorithms
Provides practical exercises at the end of each chapter
This classroom-tested and easy-to-follow textbook is essential reading for all graduate students and researchers interested in discrete mathematics, algorithms and computer networks.