Large-scale Complex System and Systems of Systems

A comprehensive guide to the theory, methodology, and development for modeling systems of systems Modeling and Managing Interdependent Complex Systems of Systems examines the complexity of, and the risk to, emergent interconnected and interdependent complex systems of systems in the natural and the constructed environment, and in its critical infrastructures. For systems modelers, this book focuses on what constitutes complexity and how to understand, model and manage it.Previous modeling methods for complex systems of systems were aimed at developing theory and methodologies for uncoupling the interdependencies and interconnections that characterize them. In this book, the author extends the above by utilizing public- and private- sector case studies; identifies, explores, and exploits the core of interdependencies; and seeks to understand their essence via the states of the system, and their dominant contributions to the complexity of systems of systems. The book proposes a reevaluation of fundamental and practical systems engineering and risk analysis concepts on complex systems of systems developed over the past 40 years. This important resource: Updates and streamlines systems engineering theory, methodology, and practice as applied to complex systems of systems Introduces modeling methodology inspired by philosophical and conceptual thinking from the arts and sciences Models the complexity of emergent interdependent and interconnected complex systems of systems by analyzing their shared states, decisions, resources, and decisionmakers Written for systems engineers, industrial engineers, managers, planners, academics and other professionals in engineering systems and the environment,this text is the resource for understanding the fundamental principles of modeling and managing complex systems of systems, and the risk thereto.

Competition within the telecommunications companies is growing fiercer by the day. Therefore, it is vital to ensure a high level of quality and reliability within all telecommunications systems in order to guard against faults and the failure of components and network services. Within large scale systems such quality and reliability problems are ever higher. The metrics of Quality and Reliability have to date only been available in journals and technical reports of companies which have designed or produced major parts of systems used in large applications. This book provides a self-contained treatment enabling the reader to be able to produce, define and utilise the metrics of Quality and Reliability required for the design and implementation of a large application such as a world class event as the Olympic Games. An additional outcome is that this book can be used as a guide for producing an ISO standard for large scale Systems such as the Olympic Games. * Provides presentations of techniques used for solving quality and reliability problems in telecommunications networks replete with illustrations of their applications to real-world services and world class events * Individual chapters written by respective international experts within their fields This will prove highly informative for Practising engineers, researchers and telecommunications professionals, academics and graduate students in telecommunications, standards bodies and organisations such as ISO.

A highly accessible reference offering a broad range of topics and insights on large scale network-centric distributed systems Evolving from the fields of high-performance computing and networking, large scale network-centric distributed systems continues to grow as one of the most important topics in computing and communication and many interdisciplinary areas. Dealing with both wired and wireless networks, this book focuses on the design and performance issues of such systems. Large Scale Network-Centric Distributed Systems provides in-depth coverage ranging from ground-level hardware issues (such as buffer organization, router delay, and flow control) to the high-level issues immediately concerning application or system users (including parallel programming, middleware, and OS support for such computing systems). Arranged in five parts, it explains and analyzes complex topics to an unprecedented degree: Part 1: Multicore and Many-Core (Mc) Systems-on-Chip Part 2: Pervasive/Ubiquitous Computing and Peer-to-Peer Systems Part 3: Wireless/Mobile Networks Part 4: Grid and Cloud Computing Part 5: Other Topics Related to Network-Centric Computing and Its Applications Large Scale Network-Centric Distributed Systems is an incredibly useful resource for practitioners, postgraduate students, postdocs, and researchers.

Explains multi-level models of enterprise systems and covers modeling methodology This book addresses the essential phenomena underlying the overall behaviors of complex systems and enterprises. Understanding these phenomena can enable improving these systems. These phenomena range from physical, behavioral, and organizational, to economic and social, all of which involve significant human components. Specific phenomena of interest and how they are represented depend on the questions of interest and the relevant domains or contexts. Modeling and Visualization of Complex Systems and Enterprises examines visualization of phenomena and how understanding the relationships among phenomena can provide the basis for understanding where deeper exploration is warranted. The author also reviews mathematical and computational models, defined very broadly across disciplines, which can enable deeper understanding. Presents a 10 step methodology for addressing questions associated with the design or operation of complex systems and enterprises Examines six archetypal enterprise problems including two from healthcare, two from urban systems, and one each from financial systems and defense systems Provides an introduction to the nature of complex systems, historical perspectives on complexity and complex adaptive systems, and the evolution of systems practice Modeling and Visualization of Complex Systems and Enterprises is written for graduate students studying systems science and engineering and professionals involved in systems science and engineering, those involved in complex systems such as healthcare delivery, urban systems, sustainable energy, financial systems, and national security.

This book presents results of projects carried out by both scientific and industry researchers into the techniques to help in maintenance, control, supervision and security of systems, taking into account the technical environmental and human factors. This work is supported by the Scientific Group GIS 3SGS. It is a collaborative work from 13 partners (academic and industrial) who have come together to deal with security problems. The problems and techniques discussed mainly focus on stochastic and dynamic modeling, maintenance, forecasting, diagnosis, reliability, performance, organizational, human and environmental factors, uncertainty and experience feedback. Part 1. Industrial Issues 1. Safety and Performance of Electricity Production Facilities, Gilles Deleuze, Jean Primet, Philippe Klein, Carole Duval and Antoine Despujols. 2. Monitoring of Radioactive Waste Disposal Cells in Deep Geological Formation, St?phane Buschaert and Sylvie Lesoille. 3. Towards Fourth-generation Nuclear Reactors, Jean-Philippe Nabot, Olivier Gastaldi, Fran?ois Baqu?, K?vin Paumel and Jean-Philippe Jeannot. Part 2. Supervison and Modeling of Complex Systems 4. Fault-tolerant Data-fusion Method: Application on Platoon Vehicle Localization, Maan El Badaoui El Najiar, Cherif Smaili, Fran?ois Charpillet, Denis Pomorski and Mireille Bayart. 5. Damage and Forecast Modeling, Anne Barros, Eric Levrat, Mitra Fouladirad, Khanh Le Son, Thomas Ruin, Beno?t Iung, Alexandre Voisin, Maxime Monnin, Antoine Despujols, Emmanuel R?my and Ludovic B?n?trix. 6. Diagnosis of Systems with Multiple Operating Modes, Taha Boukhobza, Fr?d?ric Hamelin, Beno?t Marx, Gilles Mourot, Anca Maria Nagy, Jos? Ragot, Djemal Eddine Chouaib Belkhiat, Kevin Guelton, Dalel Jabri, Noureddine Manamanni, Sinuh? Martinez, Nadhir Messai, Vincent Cocquempot, Assia Hakem, Komi Midzodzi Pekpe, Talel Zouari, Michael Defoort, Mohammed Djemai and J?r?my Van Gorp. 7. Multitask Learning for the Diagnosis of Machine Fleet, Xiyan He, Gilles Mourot, Didier Maquin, Jos? Ragot, Pierre Beauseroy, Andr? Smolarz and Edith Grall-Ma?s. 8. The APPRODYN Project: Dynamic Reliability Approaches to Modeling Critical Systems, Jean-Fran?ois Aubry, Genia Babykina, Nicolae Brinzei, Slimane Medjaher, Anne Barros, Christophe Berenguer, Antoine Grall, Yves Langeron, Danh Ngoc Nguyen, Gilles Deleuze, Beno?te De Saporta, Fran?ois Dufour and Huilong Zhang. Part 3. Characterizing Background Noise, Identifying Characteristic Signatures in Test Cases and Detecting Noise Reactors 9. Aims, Context and Type of Signals Studied, Fran?ois Baqu?, Olivier Descombin, Olivier Gastaldi and Yves Vandenboomgaerde. 10. Detection/Classification of Argon and Water Injections into Sodium into an SG of a Fast Neutron Reactor, Pierre Beauseroy, Edith Grall-Ma?s and Igor Nikiforov. 11. A Dynamic Learning-based Approach to the Surveillance and Monitoring of Steam Generators in Prototype Fast Reactors, Laurent Hartert, Moamar Sayed-Mouchaweh and Danielle Nuzillard. 12. SVM Time-Frequency Classification for the Detection of Injection States, Simon Henrot, El-Hadi Djermoune and David Brie. 13. Time and Frequency Domain Approaches for the Characterization of Injection States, Jean-Philippe Cassar and Komi Midzodzi Pekpe. Part 4. Human, Organizational and Environmental Factors in Risk Analysis 14. Risk Analysis and Management in Systems Integrating Technical, Human, Organizational and Environmental Aspects, Geoffrey Fallet-Fidry, Carole Duval, Christophe Simon, Eric Levrat, Philippe Weber and Beno?t Iung. 15. Integrating Human and Organizational Factors into the BCD Risk Analysis Model: An Influence Diagram-based approach, Karima Sedki,

Systems engineering is the design of a complex interconnection of many elements (a system) to maximize a specific measure of system performance. It consists of two parts: modeling, in which each element of the system and its performance criteria are described; and optimization in which adjustable elements are tailored to allow peak performance. Systems engineering is applied to vast numbers of problems in industry and the military. An example of systems engineering at work is the control of the timing of thousands of city traffic lights to maximize traffic flow. The complex and intricate field of electronics and computers is perfectly suited for systems engineering analysis and in turn, advances in communications and computer technology have made more advanced systems engineering problems solvable. Thus, the two areas fed off of one another. This book is a basic introduction to the use of models and methods in the engineering design of systems. It is aimed at students as well as practicing engineers. The concept of the «systems of systems» is discussed extensively, after a critical comparison of the different definitions and a range of various practical illustrations. It also provides key answers as to what a system of systems is and how its complexity can be mastered.

Discover the emerging science and engineering of System of Systems Many challenges of the twenty-first century, such as fossil fuel energy resources, require a new approach. The emergence of System of Systems (SoS) and System of Systems Engineering (SoSE) presents engineers and professionals with the potential for solving many of the challenges facing our world today. This groundbreaking book brings together the viewpoints of key global players in the field to not only define these challenges, but to provide possible solutions. Each chapter has been contributed by an international expert, and topics covered include modeling, simulation, architecture, the emergence of SoS and SoSE, net-centricity, standards, management, and optimization, with various applications to defense, transportation, energy, the environment, healthcare, service industry, aerospace, robotics, infrastructure, and information technology. The book has been complemented with several case studies—Space Exploration, Future Energy Resources, Commercial Airlines Maintenance, Manufacturing Sector, Service Sector, Intelligent Transportation, Future Combat Missions, Global Earth Observation System of Systems project, and many more—to give readers an understanding of the real-world applications of this relatively new technology. System of Systems Engineering is an indispensable resource for aerospace and defense engineers and professionals in related fields.

In the field of aeronautical dynamics, this book offers readers a design tool which enables them to solve the different problems that can occur during the planning stage of a private project. The authors present a system for the modeling, design and calculation of the flying qualities of airplanes and drones, with a complete mathematical model by Matlab/Simulink. As such, this book may be useful for design engineers as well as for keen airplane amateurs. The authors expound the various phases involved in the design process of an airplane, starting with the formulation of a design tool, under the form of a 0D mathematical model (dimensionless, time dependent), before moving on to explore the behavior of the airplane under certain circumstances and offering insights into the optimization of airplane flying qualities. As validation of this model, they present a numerical result, drawn from data collected on an existing plane – the Concorde. The dimensional process is then explored and applied to a realistic drone project. Recommendations on the development of the principal characteristics of the plane (i.e. mass distribution, air load, wing span) are given. Contents 1. 0D Analytical Modeling of theAirplane Motions. 2. Design and Optimizationof an Unmanned Aerial Vehicle (UAV). 3. Organization of the Auto-Pilot. This book provides a description of the modeling, design, and calculation of the aeronautical qualities of airplanes and drones. Divided into several parts, this book first summarizes all the necessary theoretical developments about the equations of motions and trajectory calculations of the machine. It then goes on to describe practical building processes and considers piloting methods. The last part makes a comparison between theoretical calculations and measured recorded data of the real flying machine. Accompanied by a complete mathematical model in MATLAB/SIMULINK

This book is a general presentation of complex systems, examined from the point of view of management. There is no standard formula to govern such systems, nor to effectively understand and respond to them. The interdisciplinary theory of self-organization is teeming with examples of living systems that can reorganize at a higher level of complexity when confronted with an external challenge of a certain magnitude. Modern businesses, considered as complex systems, ideally know how to flexibly and resiliently adapt to their environment, and also how to prepare for change via self-organization. Understanding sources of potential crisis is essential for leaders, though not all crises are necessarily bad news, as creative firms know how to respond to challenges through innovation: new products and markets, organizational learning for collective intelligence, and more.

In recent years, the systems designed to support activity in the fields of banking, health, transportation, space, aeronautics, defense, etc. have become increasingly larger and more complex. With the growing maturity of information and communication technologies, systems have been interconnected within growing networks, yielding new capabilities and services through the combination of system functionalities. This has led to a further increasing complexity that has to be managed in order to take advantage of these system integrations. The book is divided into two parts. The first part addresses the concept and practical illustrations of a “system of systems” and is a multidisciplinary introduction to the notion of a “systems of systems” that is discussed extensively in the current scientific and technical literature. After a critical comparison of the different definitions and a range of various practical illustrations, this part provides answers to key questions such as what a system of systems is and how its complexity can be mastered. The second part, described as “systems-of-systems engineering: methods and tools”, focuses on both engineering and modeling, and standardization issues that are critical to deal with the key steps in systems of systems engineering: namely eliciting stakeholder needs, architecture optimization, integration of constituent systems, qualification, and utilization.