Autonomic Network Management Principles book cover

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.


Telecommunications engineers and researchers in industry and academia; postgraduate students aiming to develop their knowledge in this emerging area

Hardbound, 306 Pages

Published: November 2010

Imprint: Academic Press

ISBN: 978-0-12-382190-4


  • 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

    Living Systems Inspired Design

    Policy-Based Design

    Context Awareness Design

    Self-similarity Design Principle

    Adaptive Design 18

    Knowledge-Based Design


    From Autonomic Networking to Autonomic Networking Management



    Chapter 2: Autonomic Overlay Network Architecture


    Related Work

    Automated Management for Overlay Networks

    Autonomic Management

    Smart Media Routing and Transport (SMART)

    Media Processing Functions

    Overlay Routing

    Service-Specific Overlay Networks

    Overlay Node (ONode) Architecture

    Service-Specific Overlay Networks Management

    An Autonomic Service Architecture


    Autonomic Overlays

    Distributed Knowledge



    Chapter 3: ANA: Autonomic Network Architecture


    Motivation and Aims

    Scope and Structure

    Core Architectural Abstractions

    Basic abstractions

    Compartment and Information Channel (IC)

    The Compartment API

    Basic Primitives

    The Context and Service Arguments

    Implementation of a Functional Block for Inter-Compartment Connectivity

    Development Process

    Content Centric Routing

    CCR FB Modular Decomposition

    Implementational Aspects



    Chapter 4: A Utility-Based Autonomic Architecture to Support QoE Quantification in IP Networks


    Autonomic Network Management Overview

    ANEMA: Architecture and Concepts

    NUF and Management Strategies Specification

    Goal Policies Specification

    Behavioral Policies Specification

    Policies Transformation and Relationship

    Autonomic Qos/QoE Management in Multiservice IP Networks

    Step 1: Identification of High-Level Requirements and NFU

    Step 2: NUF Analytical Description

    Step 3: Management Strategies Specification

    Step 4: Goals Specification

    Step 5: Behavioral Policies Specification

    Technical Specification of the GAP: Autonomic Router

    QoE Information Model Design

    Modeling the QoE Measurement

    Experimentations and Simulations Results

    Simulations and Analytical Results

    Testbed and Experimental Tests



    Chapter 5: Federating Autonomic Newtork Management Systems for Flexible Control of End-to-End Communications Services


    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

    Coordinated Self-Management for IPTV Content Distribution

    Federating Network and IPTV Provider Management Systems

    Interprovider and Provider-User Federations for IPTV Services

    Summary and Outlook


    Chapter 6: A Self-Organizing Architecture for Scalable, Adaptive and Robust Networking


    Principles of Self-Organization

    Definition of Self-Organization

    Self-Organization in Biological Systems

    Proposal of a Self-Organizing Network Architecture

    Network Architecture

    Node Architecture

    Self-Organization Modules

    Pulse-Coupled Oscillator Model

    Reaction-Diffusion Model

    Attractor Selection Model

    Inter/Intra-Layer Interactions

    Intralayer Interactions

    Evaluation Methodologies




    Chapter 7: Autonomics in Radio Access Networks


    Autonomics and Self-Organizing Radio Access Networks

    Radio Resource Management

    Self-Organizing Network






    Overview of SON in RANs

    SON in GSM

    SON in UMTS

    SON in LTE

    SON in Heterogeneous Networks

    SON in IEEE 1900 Standard

    Control and Learning Techniques in SON

    The Agent Concept



    SON Use of Case in LTE Network: Intercell Interference Coordination (ICIC)

    Interference Management in LTE system

    Use Case Description

    A MDP Modeling

    Simulation Results



    Chapter 8: Chronus: A Spatiotemporal Macroprogramming Language for Autonomic Wireless Sensor Networks


    A Motivating Application: Oil Spill Detection and Monitoring Chronus Macroprogramming Language

    Data Collection with Chronus

    Event Detection with Chronus

    User-Defined Data Aggregation Operators

    Chronus Implementation

    Visual Macroprogramming

    Chronus Runtime Environment

    In-Network Processing

    Concurrency in the Chronus Server

    Chronus Microprogramming Language

    Microprogramming EAs

    Implementation of EAs

    Microprogramming QAs

    Implementation of QAs

    Simulation Evaluation

    Event Detection

    Data Collection in the Future

    Data Collection in the Past

    Line of Code

    Memory Footprint

    Related Work



    Chapter 9: Security Metrics for Risk-aware Automated Policy Management


    Related Work

    Security Risk Evaluation Framework

    Service Risk Analysis

    Network Risk Analysis

    Quality of Protection Metric

    ROCONA Tool Implementation

    Deployment and Case Study

    Experimentation and Evaluation

    Vulnerability Database Used In the Experiments

    Validation of HVM

    Validation of Expected Risk (ER)

    Validation of QoPM

    Running Time Evaluation of the Attack Propagation Metric




    Chapter 10: The Design of the FOCALE Automatic Networking Architecture

    Introduction and Background

    Current Network Management Problems

    Different Forms of Complexity

    The Inherent Heterogeneity of Management Data

    The Purpose of Autonomic Systems

    Representing Knowledge

    The Role of Information and Data Models in FOCALE

    Choosing an Information Model

    Organizing Knowledge Using the DEN-ng Information Model

    Using the DEN-ng Information Model to Communicate with Devices

    Governance Using the DEN-ng Context-Aware Policy Model



    Chapter 11: Knowledge Representation, Processing and Governance in the FOCALE Autonomic Architecture

    Introduction and Background

    Knowledge Processing in FOCALE

    Why UML-Based Models are Insufficient to Represent Network Knowledge

    The Role of Ontologies in FOCALE

    Organizing Knowledge Using Ontologies

    Knowledge Integration

    Knowledge-Based Governance

    The Evolution of the FOCALE Control Loops

    The IBM MAPE Control Loop

    The Original FOCALE Control Loops

    The New FOCALE Control Loops







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