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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
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