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.

Table of Contents:
Chapter 1: Introduction to Autonomic Concepts Applied to Future Self-Managed Networks Definition and Scope Epidemiological Definition of Autonomics The Need for Autonomic Systems Automatic, Autonomous and Autonomic Systems IBM's Application of Autonomics to Computers IBM Autonomics Computing From Autonomic Computing to Autonomics Networks Autonomic (Networking) Design Principles From Autonomic Networking to Autonomic Networking Management Conclusion References Chapter 2: Autonomic Overlay Network Architecture Introduction Related Work Smart Media Routing and Transport (SMART) An Autonomic Service Architecture Conclusion References Chapter 3: ANA: Autonomic Network Architecture Introduction Core Architectural Abstractions The Compartment API Implementation of a Functional Block for Inter-Compartment Connectivity Conclusion References Chapter 4: A Utility-Based Autonomic Architecture to Support QoE Quantification in IP Networks Introduction Autonomic Network Management Overview ANEMA: Architecture and Concepts Autonomic Qos/QoE Management in Multiservice IP Networks QoE Information Model Design Experimentations and Simulations Results Conclusion References Chapter 5: Federating Autonomic Newtork Management Systems for Flexible Control of End-to-End Communications Services Introduction Autonomic Network Management: Avoiding New Management Silos Our View of Federation Federation of Networks Federation of Management Systems Federation of Organizations and their Customers Example Scenario: End-to-End Management of IPTV Services Summary and Outlook References Chapter 6: A Self-Organizing Architecture for Scalable, Adaptive and Robust Networking Introduction Principles of Self-Organization Proposal of a Self-Organizing Network Architecture Self-Organization Modules Inter/Intra-Layer Interactions Evaluation Methodologies Conclusion Acknowledgements References Chapter 7: Autonomics in Radio Access Networks Introduction Radio Resource Management Self-Organizing Network Self-Optimization Overview of SON in RANs Control and Learning Techniques in SON SON Use of Case in LTE Network: Intercell Interference Coordination (ICIC) Conclusions References Chapter 8: Chronus: A Spatiotemporal Macroprogramming Language for Autonomic Wireless Sensor Networks Introduction A Motivating Application: Oil Spill Detection and Monitoring Chronus Macroprogramming Language Chronus Implementation Chronus Microprogramming Language Simulation Evaluation Related Work Conclusion References Chapter 9: Security Metrics for Risk-aware Automated Policy Management Introduction Related Work Security Risk Evaluation Framework Quality of Protection Metric ROCONA Tool Implementation Experimentation and Evaluation Conclusions Acknowledgements References Chapter 10: The Design of the FOCALE Automatic Networking Architecture Introduction and Background Representing Knowledge Summary References Chapter 11: Knowledge Representation, Processing and Governance in the FOCALE Autonomic Architecture Introduction and Background Knowledge Processing in FOCALE The Evolution of the FOCALE Control Loops Summary References Conclusion Index