- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
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.
Contents
Chapter 1Self-Managed NetworksDefinition and ScopeEpidemiological Definition of AutonomicsThe Need for Autonomic SystemsAutomatic, Autonomous and Autonomic SystemsIBM's Application of Autonomics to ComputersIBM Autonomics ComputingFrom Autonomic Computing to Autonomics NetworksAutonomic (Networking) Design Principles From Autonomic Networking to Autonomic Networking ManagementConclusionReferencesChapter 2: Autonomic Overlay Network ArchitectureIntroductionRelated WorkSmart Media Routing and Transport (SMART)An Autonomic Service ArchitectureConclusionReferencesChapter 3: ANA: Autonomic Network ArchitectureIntroductionCore Architectural AbstractionsThe Compartment APIImplementation of a Functional Block for Inter-Compartment ConnectivityConclusionReferencesChapter 4: A Utility-Based Autonomic Architecture to Support QoE Quantification in IP NetworksIntroductionAutonomic Network Management OverviewANEMA: Architecture and ConceptsAutonomic Qos/QoE Management in Multiservice IP NetworksQoE Information Model DesignExperimentations and Simulations ResultsConclusionReferencesChapter 5: Federating Autonomic Newtork Management Systems for Flexible Control of End-to-End Communications ServicesIntroductionAutonomic Network Management: Avoiding New Management SilosOur View of FederationFederation of NetworksFederation of Management SystemsFederation of Organizations and their CustomersExample Scenario: End-to-End Management of IPTV ServicesSummary and OutlookReferencesChapter 6: A Self-Organizing Architecture for Scalable, Adaptive and Robust NetworkingIntroductionPrinciples of Self-OrganizationProposal of a Self-Organizing Network ArchitectureSelf-Organization ModulesInter/Intra-Layer InteractionsEvaluation MethodologiesConclusionAcknowledgementsReferencesChapter 7: Autonomics in Radio Access NetworksIntroductionRadio Resource ManagementSelf-Organizing NetworkSelf-OptimizationOverview of SON in RANsControl and Learning Techniques in SONSON Use of Case in LTE Network: Intercell Interference Coordination (ICIC)ConclusionsReferencesChapter 8: Chronus: A Spatiotemporal Macroprogramming Language for Autonomic Wireless Sensor NetworksIntroductionA Motivating Application: Oil Spill Detection and Monitoring Chronus Macroprogramming LanguageChronus ImplementationChronus Microprogramming LanguageSimulation EvaluationRelated WorkConclusionReferencesChapter 9: Security Metrics for Risk-aware Automated Policy ManagementIntroductionRelated WorkSecurity Risk Evaluation FrameworkQuality of Protection MetricROCONA Tool ImplementationExperimentation and EvaluationConclusionsAcknowledgementsReferencesChapter 10: The Design of the FOCALE Automatic Networking ArchitectureIntroduction and BackgroundRepresenting KnowledgeSummaryReferencesChapter 11: Knowledge Representation, Processing and Governance in the FOCALE Autonomic ArchitectureIntroduction and BackgroundKnowledge Processing in FOCALEThe Evolution of the FOCALE Control LoopsSummaryReferencesConclusionIndex
