Agoulmine Autonomic Network Management Principles

From Concepts to Applications
1. Auflage 2010
ISBN: 978-0-12-382191-1
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 306 Seiten

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.

Autoren/Hrsg.

Agoulmine, Nazim

Inhaltsverzeichnis

1;Front Cover;1
2;Autonomic Network Management Principles;4
3;Copyright page;5
4;Table of contents;6
5;Preface;12
6;About the Authors;14
7;Acknowledgement;18
8;Chapter 1. Introduction to Autonomic Concepts Applied to Future Self-Managed Networks;20
8.1;Definition and Scope;20
8.2;Epidemiological Definition of Autonomics;23
8.3;The Need for Autonomic Systems;23
8.4;Automatic, Autonomous, and Autonomic Systems;24
8.5;IBM's Application of Autonomics to Computers;25
8.6;IBM Autonomics Computing;26
8.7;From Autonomic Computing to Autonomics Networking;27
8.8;Autonomic (Networking) Design Principles;30
8.9;From Autonomic Networking to Autonomic Network Management;39
8.10;Conclusion;42
8.11;References;43
9;Chapter 2. Autonomic Overlay Network Architecture;46
9.1;Introduction;46
9.2;Related Work;48
9.3;Smart Media Routing and Transport (SMART);50
9.4;An Autonomic Service Architecture;54
9.5;Conclusion;64
9.6;References;65
10;Chapter 3. ANA: Autonomic Network Architecture;68
10.1;Introduction;68
10.2;Core Architectural Abstractions;70
10.3;The Compartment API;74
10.4;Implementation of a Functional Block for Inter-Compartment Connectivity;76
10.5;Conclusions;83
10.6;References;84
11;Chapter 4. A Utility-Based Autonomic Architecture to Support QoE Quantification in IP Networks;86
11.1;Introduction;87
11.2;Autonomic Network Management Overview;87
11.3;ANEMA: Architecture and Concepts;89
11.4;Autonomic QoS/QoE Management in Multiservice IP Networks;94
11.5;QoE Information Model Design;100
11.6;Experimentations and Simulations Results;109
11.7;Conclusion;115
11.8;References;116
12;Chapter 5. Federating Autonomic Network Management Systems for Flexible Control of End-to-End Communications Services;120
12.1;Introduction;120
12.2;Autonomic Network Management: Avoiding New Management Silos;121
12.3;Our View of Federation;122
12.4;Federation of Networks;125
12.5;Federation of Management Systems;126
12.6;Federation of Organizations and their Customers;127
12.7;Example Scenario: End-to-End Management of IPTV Services;129
12.8;Summary and Outlook;136
12.9;References;137
13;Chapter 6. A Self-Organizing Architecture for Scalable, Adaptive, and Robust Networking;138
13.1;Introduction;138
13.2;Principles of Self-Organization;140
13.3;Proposal of a Self-Organizing Network Architecture;142
13.4;Self-Organization Modules;145
13.5;Inter-/Intra-Layer Interactions;149
13.6;Evaluation Methodologies;154
13.7;Conclusion;156
13.8;Acknowledgments;156
13.9;References;157
14;Chapter 7. Autonomics in Radio Access Networks;160
14.1;Introduction;160
14.2;Radio Resource Management;161
14.3;Self-Organizing Network;163
14.4;Self Optimization;165
14.5;Overview of SON in RANs;166
14.6;Control and Learning Techniques in SON;169
14.7;SON Use Case in LTE Network: Intercell Interference Coordination (ICIC);176
14.8;Conclusions;182
14.9;References;183
15;Chapter 8. Chronus: A Spatiotemporal Macroprogramming Language for Autonomic Wireless Sensor Networks;186
15.1;Introduction;187
15.2;A Motivating Application: Oil Spill Detection and Monitoring;188
15.3;Chronus Macroprogramming Language;189
15.4;Chronus Implementation;198
15.5;Chronus Microprogramming Language;203
15.6;Simulation Evaluation;210
15.7;Related Work;218
15.8;Conclusion;220
15.9;References;220
16;Chapter 9. Security Metrics for Risk-aware Automated Policy Management;224
16.1;Introduction;224
16.2;Related Work;226
16.3;Security Risk Evaluation Framework;227
16.4;Quality of Protection Metric;237
16.5;ROCONA Tool Implementation;238
16.6;Experimentation and Evaluation;240
16.7;Conclusions;245
16.8;Acknowledgments;246
16.9;References;247
17;Chapter 10. The Design of the FOCALE Autonomic Networking Architecture;250
17.1;Introduction and Background;250
17.2;Representing Knowledge;259
17.3;Summary;269
17.4;References;270
18;Chapter 11. Knowledge Representation, Processing, and Governance in the FOCALE Autonomic Architecture;272
18.1;Introduction and Background;272
18.2;Knowledge Processing in FOCALE;273
18.3;The Evolution of the FOCALE Control Loops;286
18.4;Summary;292
18.5;References;293
19;Conclusion;294
20;Index;300