Autonomic Network Management Principles: From Concepts to Applications

by Nazim Agoulmine (Editor)

Overview

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.

Product Details

ISBN-13:	9780123821911
Publisher:	Elsevier Science
Publication date:	12/03/2010
Sold by:	Barnes & Noble
Format:	eBook
Pages:	306
File size:	6 MB

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

What People are Saying About This

From the Publisher

This book allows engineers to create highly responsive autonomic networks – self-managing networks that can overcome the complexity of the internet and other networks – that will form the basis of future communication systems.