Autonomic Network Management Principles

<p>Chapter 1: Introduction to Autonomic Concepts Applied to Future Self-Managed Networks</p> <p>Definition and Scope</p> <p>Epidemiological Definition of Autonomics</p> <p>The Need for Autonomic Systems</p> <p>Automatic, Autonomous and Autonomic Systems</p> <p>IBM's Application of Autonomics to Computers</p> <p>IBM Autonomics Computing</p> <p>From Autonomic Computing to Autonomics Networks</p> <p>Autonomic (Networking) Design Principles </p> <p>From Autonomic Networking to Autonomic Networking Management</p> <p>Conclusion</p> <p>References</p> <p>Chapter 2: Autonomic Overlay Network Architecture</p> <p>Introduction</p> <p>Related Work</p> <p>Smart Media Routing and Transport (SMART)</p> <p>An Autonomic Service Architecture</p> <p>Conclusion</p> <p>References</p> <p>Chapter 3: ANA: Autonomic Network Architecture</p> <p>Introduction</p> <p>Core Architectural Abstractions</p> <p>The Compartment API</p> <p>Implementation of a Functional Block for Inter-Compartment Connectivity</p> <p>Conclusion</p> <p>References</p> <p>Chapter 4: A Utility-Based Autonomic Architecture to Support QoE Quantification in IP Networks</p> <p>Introduction</p> <p>Autonomic Network Management Overview</p> <p>ANEMA: Architecture and Concepts</p> <p>Autonomic Qos/QoE Management in Multiservice IP Networks</p> <p>QoE Information Model Design</p> <p>Experimentations and Simulations Results</p> <p>Conclusion</p> <p>References</p> <p>Chapter 5: Federating Autonomic Newtork Management Systems for Flexible Control of End-to-End Communications Services</p> <p>Introduction</p> <p>Autonomic Network Management: Avoiding New Management Silos</p> <p>Our View of Federation</p> <p>Federation of Networks</p> <p>Federation of Management Systems</p> <p>Federation of Organizations and their Customers</p> <p>Example Scenario: End-to-End Management of IPTV Services</p> <p>Summary and Outlook</p> <p>References</p> <p>Chapter 6: A Self-Organizing Architecture for Scalable, Adaptive and Robust Networking</p> <p>Introduction</p> <p>Principles of Self-Organization</p> <p>Proposal of a Self-Organizing Network Architecture</p> <p>Self-Organization Modules</p> <p>Inter/Intra-Layer Interactions</p> <p>Evaluation Methodologies</p> <p>Conclusion</p> <p>Acknowledgements</p> <p>References</p> <p>Chapter 7: Autonomics in Radio Access Networks</p> <p>Introduction</p> <p>Radio Resource Management</p> <p>Self-Organizing Network</p> <p>Self-Optimization</p> <p>Overview of SON in RANs</p> <p>Control and Learning Techniques in SON</p> <p>SON Use of Case in LTE Network: Intercell Interference Coordination (ICIC)</p> <p>Conclusions</p> <p>References</p> <p>Chapter 8: Chronus: A Spatiotemporal Macroprogramming Language for Autonomic Wireless Sensor Networks</p> <p>Introduction</p> <p>A Motivating Application: Oil Spill Detection and Monitoring Chronus Macroprogramming Language</p> <p>Chronus Implementation</p> <p>Chronus Microprogramming Language</p> <p>Simulation Evaluation</p> <p>Related Work</p> <p>Conclusion</p> <p>References</p> <p>Chapter 9: Security Metrics for Risk-aware Automated Policy Management</p> <p>Introduction</p> <p>Related Work</p> <p>Security Risk Evaluation Framework</p> <p>Quality of Protection Metric</p> <p>ROCONA Tool Implementation</p> <p>Experimentation and Evaluation</p> <p>Conclusions</p> <p>Acknowledgements</p> <p>References</p> <p>Chapter 10: The Design of the FOCALE Automatic Networking Architecture</p> <p>Introduction and Background</p> <p>Representing Knowledge</p> <p>Summary</p> <p>References</p> <p>Chapter 11: Knowledge Representation, Processing and Governance in the FOCALE Autonomic Architecture</p> <p>Introduction and Background</p> <p>Knowledge Processing in FOCALE</p> <p>The Evolution of the FOCALE Control Loops</p> <p>Summary</p> <p>References</p> <p>Conclusion</p> <p>Index</p>