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Based on the author’s first-hand experience and expertise, this book offers a proven framework for global software engineering. Readers will learn best practices for managing a variety of software projects, coordinating the activities of several locations across the globe while accounting for cultural differences. Most importantly, readers will learn how to engineer a first-rate software product as efficiently as possible by fully leveraging global personnel and resources. Global Software and IT takes a unique approach that works for projects of any size, examining such critical topics as: Executing a seamless project across multiple locations Mitigating the risks of off-shoring Developing and implementing processes for global development Establishing practical outsourcing guidelines Fostering effective collaboration and communication across continents and culture This book provides a balanced framework for planning global development, covering topics such as managing people in distributed sites and managing a project across locations. It delivers a comprehensive business model that is beneficial to anyone looking for the most cost-effective, efficient way to engineer good software products.

This book presents a unified frequency-domain method for the analysis of distributed control systems. The following important topics are discussed by using the proposed frequency-domain method: (1) Scalable stability criteria of networks of distributed control systems; (2) Effect of heterogeneous delays on the stability of a network of distributed control system; (3) Stability of Internet congestion control algorithms; and (4) Consensus in multi-agent systems. This book is ideal for graduate students in control, networking and robotics, as well as researchers in the fields of control theory and networking who are interested in learning and applying distributed control algorithms or frequency-domain analysis methods.

Explore the military and combat applications of modeling and simulation Engineering Principles of Combat Modeling and Distributed Simulation is the first book of its kind to address the three perspectives that simulation engineers must master for successful military and defense related modeling: the operational view (what needs to be modeled); the conceptual view (how to do combat modeling); and the technical view (how to conduct distributed simulation). Through methods from the fields of operations research, computer science, and engineering, readers are guided through the history, current training practices, and modern methodology related to combat modeling and distributed simulation systems. Comprised of contributions from leading international researchers and practitioners, this book provides a comprehensive overview of the engineering principles and state-of-the-art methods needed to address the many facets of combat modeling and distributed simulation and features the following four sections: Foundations introduces relevant topics and recommended practices, providing the needed basis for understanding the challenges associated with combat modeling and distributed simulation. Combat Modeling focuses on the challenges in human, social, cultural, and behavioral modeling such as the core processes of «move, shoot, look, and communicate» within a synthetic environment and also equips readers with the knowledge to fully understand the related concepts and limitations. Distributed Simulation introduces the main challenges of advanced distributed simulation, outlines the basics of validation and verification, and exhibits how these systems can support the operational environment of the warfighter. Advanced Topics highlights new and developing special topic areas, including mathematical applications fo combat modeling; combat modeling with high-level architecture and base object models; and virtual and interactive digital worlds. Featuring practical examples and applications relevant to industrial and government audiences, Engineering Principles of Combat Modeling and Distributed Simulation is an excellent resource for researchers and practitioners in the fields of operations research, military modeling, simulation, and computer science. Extensively classroom tested, the book is also ideal for courses on modeling and simulation; systems engineering; and combat modeling at the graduate level.

This book covers the most essential techniques for designing and building dependable distributed systems. Instead of covering a broad range of research works for each dependability strategy, the book focuses only a selected few (usually the most seminal works, the most practical approaches, or the first publication of each approach) are included and explained in depth, usually with a comprehensive set of examples. The goal is to dissect each technique thoroughly so that readers who are not familiar with dependable distributed computing can actually grasp the technique after studying the book. The book contains eight chapters. The first chapter introduces the basic concepts and terminologies of dependable distributed computing, and also provide an overview of the primary means for achieving dependability. The second chapter describes in detail the checkpointing and logging mechanisms, which are the most commonly used means to achieve limited degree of fault tolerance. Such mechanisms also serve as the foundation for more sophisticated dependability solutions. Chapter three covers the works on recovery-oriented computing, which focus on the practical techniques that reduce the fault detection and recovery times for Internet-based applications. Chapter four outlines the replication techniques for data and service fault tolerance. This chapter also pays particular attention to optimistic replication and the CAP theorem. Chapter five explains a few seminal works on group communication systems. Chapter six introduces the distributed consensus problem and covers a number of Paxos family algorithms in depth. Chapter seven introduces the Byzantine generals problem and its latest solutions, including the seminal Practical Byzantine Fault Tolerance (PBFT) algorithm and a number of its derivatives. The final chapter covers the latest research results on application-aware Byzantine fault tolerance, which is an important step forward towards practical use of Byzantine fault tolerance techniques.

The integration of new sources of energy like wind power, solar-power, small-scale generation, or combined heat and power in the power grid is something that impacts a lot of stakeholders: network companies (both distribution and transmission), the owners and operators of the DG units, other end-users of the power grid (including normal consumers like you and me) and not in the least policy makers and regulators. There is a lot of misunderstanding about the impact of DG on the power grid, with one side (including mainly some but certainly not all, network companies) claiming that the lights will go out soon, whereas the other side (including some DG operators and large parks of the general public) claiming that there is nothing to worry about and that it's all a conspiracy of the large production companies that want to protect their own interests and keep the electricity price high. The authors are of the strong opinion that this is NOT the way one should approach such an important subject as the integration of new, more environmentally friendly, sources of energy in the power grid. With this book the authors aim to bring some clarity to the debate allowing all stakeholders together to move to a solution. This book will introduce systematic and transparent methods for quantifying the impact of DG on the power grid.