Autonomic networking aims to solve the mounting problems created by increasingly complex networks, by enabling devices and service-providers to decide, preferably without human intervention, what to do at any given moment, and ultimately to create self-managing networks that can interface with each other, adapting their behavior to provide the best service to the end-user in all situations. This book gives both an understanding and an assessment of the principles, methods and architectures in autonomous network management, as well as lessons learned from, the ongoing initiatives in the field. It includes contributions from industry groups at Orange Labs, Motorola, Ericsson, the ANA EU Project and leading universities. These groups all provide chapters examining the international research projects to which they are contributing, such as the EU Autonomic Network Architecture Project and Ambient Networks EU Project, reviewing current developments and demonstrating how autonomic management principles are used to define new architectures, models, protocols, and mechanisms for future network equipment. - Provides reviews of cutting-edge approaches to the management of complex telecommunications, sensors, etc. networks based on new autonomic approaches. This enables engineers to use new autonomic techniques to solve complex distributed problems that are not possible or easy to solve with existing techniques. - Discussion of FOCALE, a semantically rich network architecture for coordinating the behavior of heterogeneous and distributed computing resources. This provides vital information, since the data model holds much of the power in an autonomic system, giving the theory behind the practice, which will enable engineers to create their own solutions to network management problems. - Real case studies from the groups in industry and academia who work with this technology. These allow engineers to see how autonomic networking is implemented in a variety of scenarios, giving them a solid grounding in applications and helping them generate their own solutions to real-world problems.

This book constitutes the refereed proceedings of the First International IFIP TC6 Conference on Autonomic Networking, AN 2006. The 24 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on autonomic networks, self-configuration, autonomic platform and services, autonomic management and discovery policy-based management, ad hoc, sensor and ambient autonomic networks, and autonomic control of mobile networks.

In the early 1990s, NASA Goddard Space Flight Center started researching and developing autonomous and autonomic ground and spacecraft control systems for future NASA missions. This research started by experimenting with and developing expert systems to automate ground station software and reduce the number of people needed to control a spacecraft. This was followed by research into agent-based technology to develop autonomous ground c- trol and spacecraft. Research into this area has now evolved into using the concepts of autonomic systems to make future space missions self-managing and giving them a high degree of survivability in the harsh environments in which they operate. This book describes much of the results of this research. In addition, it aimstodiscusstheneededsoftwaretomakefutureNASAspacemissionsmore completelyautonomousandautonomic.Thecoreofthesoftwareforthesenew missions has been written for other applications or is being applied gradually in current missions, or is in current development. It is intended that this book should document how NASA missions are becoming more autonomous and autonomic and should point to the way of making future missions highly - tonomous and autonomic. What is not covered is the supporting hardware of these missions or the intricate software that implements orbit and at- tude determination, on-board resource allocation, or planning and scheduling (though we refer to these technologies and give references for the interested reader).

Autonomic Computing and Networking presents introductory and advanced topics on autonomic computing and networking with emphasis on architectures, protocols, services, privacy & security, simulation and implementation testbeds. Autonomic computing and networking are new computing and networking paradigms that allow the creation of self-managing and self-controlling computing and networking environment using techniques such as distributed algorithms and context-awareness to dynamically control networking functions without human interventions. Autonomic networking is characterized by recovery from failures and malfunctions, agility to changing networking environment, self-optimization and self-awareness. The self-control and management features can help to overcome the growing complexity and heterogeneity of exiting communication networks and systems. The realization of fully autonomic heterogeneous networking introduces several research challenges in all aspects of computing and networking and related fields.

This textbook provides a practical perspective on autonomic computing. Through the combined use of examples and hands-on projects, the book enables the reader to rapidly gain an understanding of the theories, models, design principles and challenges of this subject while building upon their current knowledge. Features: provides a structured and comprehensive introduction to autonomic computing with a software engineering perspective; supported by a downloadable learning environment and source code that allows students to develop, execute, and test autonomic applications at an associated website; presents the latest information on techniques implementing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the challenges to evaluating an autonomic system, aiding the reader in designing tests and metrics that can be used to compare systems; reviews the most relevant sources of inspiration for autonomic computing, with pointers towards more extensive specialty literature.

The purpose of this book is to present a focused approach to the pathophysiology, diagnosis, and management of the most common autonomic disorders that may present to the clinical neurologist. Autonomic Neurology is divided into 3 sections. The first section includes 5 chapters reviewing the anatomical and biochemical mechanisms of central and peripheral nervous system control of autonomic function, principles of autonomic pharmacology, and a clinical and laboratory approach to the diagnosis of autonomic disorders. The second section focuses on the pathophysiology and management of orthostatic hypotension, postural tachycardia, baroreflex failure; syncope, disorders of sweating, neurogenic bladder and sexual dysfunction, gastrointestinal dysmotility, and autonomic hyperactivity. The final section is devoted to specific autonomic disorders, including central neurodegenerative disorders; common peripheral neuropathies with prominent autonomic failure; painful small fiber neuropathies; autoimmune autonomic ganglionopathies and neuropathies; focal brain disorders; focal spinal cord disorders; and chronic pain disorders with autonomic manifestations. This book is the product of the extensive experience of its contributors in the evaluation and management of the many patients with autonomic symptoms who are referred for neurologic consultation at Mayo Clinic in Rochester, Minnesota. Autonomic Neurology focuses on clinical scenarios and presentation of clinical cases and includes several figures showing the results of normal and abnormal autonomic testing in typical conditions. Its abundance of tables summarizing the differential diagnosis, testing, and management of autonomic disorders also help set this book apart from other books focused on the autonomic nervous system.

Autonomic computing and networking (ACN), a concept inspired by the human autonomic system, is a priority research area and a booming new paradigm in the field. Formal and Practical Aspects of Autonomic Computing and Networking: Specification, Development, and Verification outlines the characteristics, novel approaches of specification, refinement, programming and verification associated with ACN. The goal of ACN and the topics covered in this work include making networks and computers more self-organized, self- configured, self-healing, self-optimizing, self-protecting, and more. This book helpfully details the steps necessary towards realizing computer and network autonomy and its implications.

Written by leading scientists and researchers, this book presents a comprehensive reference of state-of-the-art efforts and early results in the area of autonomic networking and communication. This special issue explores different ways that autonomic principles can be applied to existing and future networks. In particular, the book has three main parts, each of them represented by three papers discussing them from industrial and academic perspectives.

Autonomic Intelligence Evolved Cooperative Networking offers a comprehensive advancement of the state-of-the art technological developments in the fields of Cooperative Networking and Autonomic Computing. Based on his track record in industrial standardisation, as well as academic and applied research, the author presents a fully-fledged Autonomic Cooperative Networking Architectural Model that encompasses the relevant workings of both the Layers of the Open Systems Interconnection Reference Model and the Levels of the Generic Autonomic Network Architecture. .