Books in the Chapman & Hall/CRC Computer and Information Science Series series

"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."

"A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc."

Trust-Worthy Cyber Physical Systems Engineering provides practitioners and researchers with a comprehensive introduction to the area of trustworthy Cyber Physical Systems (CPS) engineering. Featuring contributions from leading international experts, the book contains sixteen self-contained chapters that analyze the challenges in develop

This book discusses various aspects of agent-based modeling and simulation using FLAME (Flexible Large-scale Agent-Based Modeling Environment). Along with a focus on the software engineering principles in building agent-based models, the book comprehensively discusses how models can be written for various domains.

We face many environmental, technological, societal and economic challenges. To address these challenges, it is important to deploy information and communication technologies (ICT) throughout our homes and cities. This book introduces enabling technologies, from machine-to-machine communications to Internet of Things.

This book provides a collection of contributions illustrating the latest research in the areas of future networks, applications, enabling technologies, and implementation issues and challenges. The book encompasses research on emerging areas such as the wireless technologies, software-defined networks, Cloud Computing, IoT, and Big Data.

Evolutionary multi-objective optimization (EMO) has emerged as a sub-discipline of multi-objective optimization, combining the fields of evolutionary computation and classical multiple criteria decision making. This field has applications in artificial intelligence, machine learning, and data mining. This book will present new trends, methods, a

This book introduces the fundamentals of computer simulation using Python. Monte Carlo methods and applications are covered extensively, along with advanced topics, such as event graphs and the design of experiments.

This book introduces IoT, related technologies, and common issues in the adoption of IoT. It surveys recent technological advances and novel solutions for challenges in the IoT environment. It also discusses the utilization of IoT and its underlying technologies in application areas, such as smart grids, healthcare, and the automotive industry.

This book provides a comprehensive survey of data structures of various types. The second edition has been revised and updated with new chapters on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores.

This book reflects the tremendous growth in the field over the past two decades. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, as well as in emerging applications.

Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, and other metaheuristics.

This handbook reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics.

Presents theories, techniques, and methods used for analyzing algorithms. This text provides information on asymptotics, including Rice's method, the Euler and Boole summation formulas, and recurrences. It offers tutorials on such topics as: continued fractions, functions of a complex variable, numerical calculations, and Stieltjes integration.

With examples and exercises, this work develops simple models and analytical methods from first principles to evaluate performance metrics of various configurations of computer systems and networks. It includes analytically tractable models, and presents models for complex systems as analyzable modifications and interconnections of simple models.

Scalable and Secure Internet Services and Architecture provides an in-depth analysis of many key scaling technologies. The book demonstrates the effectiveness of the technologies via mathematical modeling and analysis, simulation, and practical implementations. The text blends technologies in a unified framework for scalable and secure Internet services, delivering a systematic treatment based upon the author's research. The book tackles each topic by first defining a problem, then reviewing representative approaches for solving it. The author then describes the underlying principles of the technologies and the application of these principles, along with balanced coverage of concepts and engineering trade-offs.

Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, and other metaheuristics.

This book introduces the fundamentals of computer simulation using Python. Monte Carlo methods and applications are covered extensively, along with advanced topics, such as event graphs and the design of experiments.

Preserving the excellence and accessibility of its best-selling predecessor, this second edition once again provides all the fundamentals and applications in one complete, self-contained source. It incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. Sensor Networking and Applications focuses on sensor deployment and networking, adaptive tasking, self-configuration, and system control. In the expanded applications section, the book draws on the insight of practitioners in the field.

Preserving the excellence and accessibility of its best-selling predecessor, this second edition once again provides all the fundamentals and applications in one complete, self-contained source. It incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. Image and Sensor Signal Processing focuses on software issues and the history and future of sensor networks. The book also covers information fusion and power management.

Cohesively integrating the state of the art in this emerging field, this guide presents many issues involved in vehicular networking, including traffic engineering, human factors studies, and novel computer science research. It covers traffic monitoring and traffic flow modeling, innovative applications enabled by vehicular networks, routing and localization, and simulation. The book also introduces governmental and industrial efforts in the United States and Europe to set standards and perform field tests on the feasibility of vehicular networks. The final part explores the extent and impact of driver distraction with in-vehicle displays.

This pivotal book provides a highly accessible, balanced treatment of the underlying theory and practical applications of distributed computing. As in the previous version, the language of the Second Edition is kept as unobscured as possible¿clarity is given priority over mathematical formalism. Containing significant updates that mirror the phenomenal growth of distributed systems, this easily digestible text includes fresh exercises, examples, and case studies and explores new topics related to peer-to-peer and social networks. A solutions manual is available with qualifying course adoption.