Autonomic Network Management Principles: From Concepts to Applications Book

Preface xi

About the Authors xiii

Acknowledgement xvii

1 Introduction to Autonomic Concepts Applied to Future Self-Managed Networks Nazim Agoulmine 1

Definition and Scope 1

Epidemiological Definition of Autonomics 4

The Need for Autonomic Systems 4

Automatic, Autonomous, and Autonomic Systems 5

IBM's Application of Autonomics to Computers 6

IBM Autonomics Computing 7

From Autonomic Computing to Autonomics Networking 8

Autonomic (Networking) Design Principles 11

Living Systems Inspired Design 12

Policy-Based Design 14

Context Awareness Design 15

Self-similarity Design Principle 17

Adaptive Design 18

Knowledge-Based Design 19

From Autonomic Networking to Autonomic Network Management 20

Conclusion 23

References 24

2 Autonomic Overlay Network Architecture Ibrahim Aloqily Ahmed Karmouch 27

Introduction 27

Related Work 29

Automated Management for Overlay Networks 29

Autonomic Management 30

Smart Media Routing and Transport (SMART) 31

Media Processing Functions 31

Overlay Routing 32

Service-Specific Overlay Networks 33

Overlay Node (ONode) Architecture 34

Service-Specific Overlay Networks Management 35

An Autonomic Service Architecture 35

Introduction 36

Autonomic Overlays 37

Distributed Knowledge 43

Conclusion 45

References 46

3 ANA: Autonomic Network Architecture Prométhée Spathis Marco Bicudo 49

Introduction 49

Motivation and Aims 50

Scope and Structure 51

Core Architectural Abstractions 51

Basic abstractions 51

Compartment and Information Channel (IC) 53

The Compartment API 55

Basic Primitives 56

The Context and Service Arguments 56

Implementation of a Functional Block for Inter-Compartment Connectivity 57

Development Process 57

Content Centric Routing 57

CCR FB Modular Decomposition 58

Implementational Aspects 60

Conclusions 64

References 65

4 A Utility-Based Autonomic Architecture to Support QoE Quantification in IP Networks Hajer Derbel Nazim Agoulmine Elyes Lehtihet Mikaël Salaün 67

Introduction 68

Autonomic Network Management Overview 68

ANEMA: Architecture and Concepts 70

NUF and Management Strategies Specification 72

Goal Policies Specification 73

Behavioral Policies Specification 74

Policies Transformation and Relationship 74

Autonomic QoS/QoE Management in Multiservice IP Networks 75

Step 1 Identification of High-Level Requirements and NFU 76

Step 2 NUF Analytical Description 77

Step 3 Management Strategies Specification 78

Step 4 Goals Specification 78

Step 5 Behavioral Policies Specification 80

Technical Specification of the GAP: Autonomic Router 81

QoE Information Model Design 81

Modeling the QoE Measurement 84

Experimentations and Simulations Results 90

Simulations and Analytical Results 90

Testbed and Experimental Tests 94

Conclusion 96

References 97

5 Federating Autonomic Network Management Systems for Flexible Control of End-to-End Communications Services Brendan Jennings Kevin Chekov Feeney Rob Brennan Sasitharan Balasubramaniam Dmitri Botvich Sven van der Meer 101

Introduction 101

Autonomic Network Management: Avoiding New Management Silos 102

Our View of Federation 103

Federation of Networks 106

Federation of Management Systems 107

Federation of Organizations and their Customers 108

Example Scenario: End-to-End Management of IPTV Services 110

Coordinated Self-Management for IPTV Content Distribution 111

Federating Network and IPTV Provider Management Systems 113

Interprovider and Provider-User Federations for IPTV Services 115

Summary and Outlook 117

References 118

6 A Self-Organizing Architecture for Scalable, Adaptive, and Robust Networking Naoki Wakamiya Kenji Leibnitz Masayuki Murata 119

Introduction 119

Principles of Self-Organization 121

Definition of Self-Organization 121

Self-Organization in Biological Systems 121

Proposal of a Self-Organizing Network Architecture 123

Network Architecture 124

Node Architecture 125

Self-Organization Modules 126

Pulse-Coupled Oscillator Model 126

Reaction-Diffusion Model 127

Attractor Selection Model 129

Inter-/Intra-Layer Interactions 130

Intralayer Interactions 130

Interlayer Interactions 131

Evaluation Methodologies 135

Conclusion 137

Acknowledgments 137

References 138

7 Autonomics in Radio Access Networks Mariana Dirani Zwi Altman Mikael Salaun 141

Introduction 141

Autonomics and Self-Organizing Radio Access Networks 141

Radio Resource Management 142

Self-Organizing Network 144

Self-Configuration 145

Self Optimization 146

Self-Diagnosis 146

Self-Healing 147

Self-Protecting 147

Overview of SON in RANs 147

SON in GSM 147

SON in UMTS 148

SON in LTE 148

SON in Heterogeneous Networks 149

SON in IEEE 1900 Standard 149

Control and Learning Techniques in SON 150

The Agent Concept 151

Control 151

Learning 153

SON Use Case in LTE Network: Intercell Interference Coordination (ICIC) 157

Interference Management in LTE system 158

Use Case Description 160

A MDP Modeling 161

Simulation Results 162

Conclusions 163

References 164

8 Chronus: A Spatiotemporal Macroprogramming Language for Autonomic Wireless Sensor Networks Hiroshi Wada Pruet Boonma Junichi Suzuki 167

Introduction 168

A Motivating Application: Oil Spill Detection and Monitoring 169

Chronus Macroprogramming Language 170

Data Collection with Chronus 171

Event Detection with Chronus 174

User-Defined Data Aggregation Operators 178

Chronus Implementation 179

Visual Macroprogramming 179

Chronus Runtime Environment 180

In-Network Processing 182

Concurrency in the Chronus Server 183

Chronus Microprogramming Language 184

Microprogramming EAs 184

Implementation of EAs 186

Microprogramming QAs 187

Implementation of QAs 189

Simulation Evaluation 191

Event Detection 191

Data Collection in the Future 192

Data Collection in the Past 195

Line of Code 197

Memory Footprint 199

Related Work 199

Conclusion 201

References 201

9 Security Metrics for Risk-aware Automated Policy Management E. Al-Shaer L. Khan M. S. Ahmed M. Taibah 205

Introduction 205

Related Work 207

Security Risk Evaluation Framework 208

Service Risk Analysis 209

Network Risk Analysis 214

Quality of Protection Metric 218

ROCONA Tool Implementation 219

Deployment and Case Study 220

Experimentation and Evaluation 221

Vulnerability Database Used In the Experiments 222

Validation of HVM 222

Validation of Expected Risk (ER) 223

Validation of QoPM 225

Running Time Evaluation of the Attack Propagation Metric 226

Conclusions 226

Acknowledgments 227

References 228

10 The Design of the FOCALE Automatic Networking Architecture John Strassner 231

Introduction and Background 231

Current Network Management Problems 232

Different Forms of Complexity 233

The Inherent Heterogeneity of Management Data 234

The Purpose of Autonomic Systems 236

Representing Knowledge 240

The Role of Information and Data Models in FOCALE 241

Choosing an Information Model 242

Organizing Knowledge Using the DEN-ng Information Model 243

Using the DEN-ng Information Model to Communicate with Devices 244

Governance Using the DEN-ng Context-Aware Policy Model 246

Summary 250

References 251

11 Knowledge Representation, Processing, and Governance in the FOCALE Autonomic Architecture John Strassner 253

Introduction and Background 253

Knowledge Processing in FOCALE 254

Why UML-Based Models are Insufficient to Represent Network Knowledge 255

The Role of Ontologies in FOCALE 256

Organizing Knowledge Using Ontologies 258

Knowledge Integration 260

Knowledge-Based Governance 264

The Evolution of the FOCALE Control Loops 267

The IBM MAPE Control Loop 267

The Original FOCALE Control Loops 269

The New FOCALE Control Loops 270

Summary 273

References 274

Conclusion 275

Index 281