Autonomic Network Management Principles: From Concepts to Applications

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.

Table of Contents

Chapter 1. Introduction to Autonomic Concepts Applied to Future Self-Managed Networks
Chapter 2. Autonomic Overlay Network Architecture
Chapter 3. ANA: Autonomic Network Architecture
Chapter 4. A Utility-Based Autonomic Architecture to Support QoE Quantification in IP Networks
Chapter 5. Federating Autonomic Network Management Systems for Flexible Control of End-to-End Communications Services
Chapter 6. A Self-Organizing Architecture for Scalable, Adaptive, and Robust Networking
Chapter 7. Autonomics in Radio Access Networks
Chapter 8. Chronus: A Spatiotemporal Macroprogramming Language for Autonomic Wireless Sensor Networks
Chapter 9. Security Metrics for Risk-aware Automated Policy Management
Chapter 10. The Design of the FOCALE Autonomic Networking Architecture
Chapter 11. Knowledge Representation, Processing, and Governance in the FOCALE Autonomic Architecture