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Telecommunications and enterprise networks have grown dramatically in recent years: for example, the World Wide Web has accelerated and diversified the amount of data traffic and increased the number of users accessing resources and services. The need to support mobile internet and mobile content, and the necessity of supporting multiple devices (PCs, smart phones, PDAs, mobile phones, networked audio and video equipment, game consoles, etc.) also increase network complexity. Designing, maintaining and managing these diverse networks is crucial to ensure quality of service to end users, but this is further complicated by the different languages and programming models used. The sheer number of applications, sites, users and terminals generates a huge demand on modern networks, which must be dynamic enough to respond quickly and effectively to all these unpredictable requests as they happen.

Autonomic networking aims to solve the mounting problems created by these complex networks, by enabling devices to decide, without human intervention, what to do at any given moment, and ultimately to create self-managing networks that can interface with each other, self-adapting their behaviour to provide the best service to the end user in all situations.

This book provides both a solid review of concepts, principles and architectures, and a comprehensive review of ongoing initiatives in the field. Through examination of several international research projects, the book demonstrates how autonomic principles are used to define new architectures, models, protocols, and mechanisms for future network equipment. It also presents real-world case studies, enabling engineers to apply autonomic network theory to a variety of network management scenarios; the reader will find in this book comprehensive examples of how future robust networks can be built and managed. Comprehensive use cases will show how these solutions are used to solve real network problems to help readers to understand the application of these techniques, their advantages and limitations.

  • 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.

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