Autonomic Communication

New paradigms for communication/networking systems are needed in order to tackle the emerging issues such as heterogeneity, complexity and management of evolvable infrastructures. In order to realize such advanced systems, approaches should become task- and knowledge-driven, enabling a service-oriented, requirement, and trust-driven development of communication networks. The networking and seamless integration of concepts, technologies and devices in a dynamically changing environment poses many challenges to the research community, including interoperability, programmability, management, openness, reliability, performance, context awareness, intelligence, autonomy, security, privacy, safety, and semantics. This edited volume explores the challenges of technologies to realize the vision where devices and applications seamlessly interconnect, intelligently cooperate, and autonomously manage themselves, and as a result, the borders of virtual and real world vanish or become significantly blurred. New paradigms for communication/networking systems are needed in order to tackle such emerging issues as heterogeneity, complexity and management of evolvable infrastructures, thus requiring approaches that are both task- and knowledge-driven. The networking and seamless integration of concepts, technologies and devices in a dynamically changing environment poses many challenges to the research community, including interoperability, programmability, management, openness, reliability, performance, context awareness, intelligence, autonomy, security, privacy, safety, and semantics. Inspired by biological systems, autonomic communication envisions communication systems that can organize, configure, optimize, protect, and heal themselves with minimal involvement of human administrators. Autonomic Communication explores conceptual models and associated technologies that will uphold the vision of autonomic communication where devices and applications blur the boundaries between virtual and real worlds as they seamlessly interconnect, intelligently cooperate, and autonomously manage themselves. Written by leading international researchers, the contributions give testimony to the challenges and prospects of this rapidly growing area. The volume is composed of chapters covering a wide range of issues related to autonomic communication. Part I Autonomic Communication Infrastructure * Social-based autonomic routing in opportunistic networks * A Collaborative Knowledge Plane for Autonomic Networks * A Rate Feedback Predictive Control Scheme Based on Neural Network and Control Theory for Autonomic Communication Part II Autonomic Communication Services and Middleware * Hovering Information – Self-Organizing Information that Finds its Own Storage * The CASCADAS Framework for Autonomic Communications * Autonomic Middleware for Automotive Embedded Systems * Social Opportunistic Computing: Design for Autonomic User-Centric Systems * Programming and Validation Techniques for Reliable Goal-driven Autonomic Software Part III Applications to Ad-Hoc (Sensor) Networks and Pervasive Systems * Autonomic Communication in Pervasive Multimodal Multimedia Computing System * Self-healing for Autonomic Pervasive Computing * Map-based Design for Autonomic Wireless Sensor Networks * An Efficient, Scalable and Robust P2P Overlay for Autonomic Communication * Autonomic and Coevolutionary Sensor Networking Autonomic Communication provides a vital reference to both researchers and practitioners, particularly those in networking, future and emerging technologies, mobile systems, autonomous technologies, computational intelligence, and embedded systems. The book is also a useful tool for graduate students and senior undergraduate students in courses on networking, autonomous management web, services, network application modeling, knowledge-based systems, and evolutionary software. Front Matter....Pages i-xviii Front Matter....Pages 1-1 Bio-inspired Autonomic Structures: a middleware for Telecommunications Ecosystems....Pages 3-30 Social-based autonomic routing in opportunistic networks....Pages 31-67 A Collaborative Knowledge Plane for Autonomic Networks....Pages 69-92 A Rate Feedback Predictive Control Scheme Based on Neural Network and Control Theory for Autonomic Communication....Pages 93-107 Front Matter....Pages 1-1 Hovering Information – Self-Organizing Information that Finds its Own Storage....Pages 111-145 The CASCADAS Framework for Autonomic Communications....Pages 147-168 Autonomic Middleware for Automotive Embedded Systems....Pages 169-210 Social Opportunistic Computing: Design for Autonomic User-Centric Systems....Pages 211-229 Programming and Validation Techniques for Reliable Goal-driven Autonomic Software....Pages 231-247 Front Matter....Pages 1-1 Autonomic Communication in Pervasive Multimodal Multimedia Computing System....Pages 251-283 Self-healing for Autonomic Pervasive Computing....Pages 285-307 Map-based Design for Autonomic Wireless Sensor Networks....Pages 309-326 An Efficient, Scalable and Robust P2P Overlay for Autonomic Communication....Pages 327-350 Autonomic and Coevolutionary Sensor Networking....Pages 351-372 Back Matter....Pages 373-374 The articles collected in this volume have two features in common: they wantto integrate economics, demography and geography, and they want to overcome the stationary approach in modelling in favour of a dynamic one. The book is subdivided into three parts, where Part I is focussing on economic evolution, Part II on geographical development and Part III is related to demographic change. The present volume aims at providing a new look at this triangle in view of the classical background of discussions by introducing new research ideas focussing in nonlinear dynamics and stochastic modelling. Thus the main purpose of this book is to make a contribution to the interdisciplinary work needed to integrate the effortsbetween these three research fields and to serve as a research source in demonstrating the current state of art in dynamic modelling. The book isaddressed to social scientists in general, and those in particular with a background in economics, geographics and demographics. It should also be of interest to mathematicians, physicists, and systems analysts interested in model building and applications of nonlinear dynamics Edited By A. Pekalski And J. Przystawa. Contains Most Of The Lectures, Some Revised, Presented At The Winter School, Which Was Organized By The Institute Of Theoretical Physics Of The University Of Wrocław. Includes Bibliographical References.