QoS-aware service selection strategies

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Table of contents

List of Figures
List of Tables
I Introduction
1 Pervasive Computing
2 QoS and QoS-awareness
3 QoS Issues in Pervasive Environments
3.1 QoS-enabling specifications
3.2 QoS-aware service discovery
3.3 QoS-aware service composition
3.4 QoS-driven composition adaptation
4 Towards QoS-aware Service-Oriented Middleware for Pervasive Environments
5 Thesis Contribution and Document Structure
II QoS-aware Service-Oriented Middleware: State of the Art
1 QoS-aware Service-Oriented Middleware
2 QoS-enabling specifications
2.1 Taxonomy of QoS models
2.2 Quality-Based Service Description (QSD)
3 QoS-aware Service Discovery
4 QoS-aware Service Composition
4.1 Service assembly approach
4.2 Scope of QoS constraints
4.3 QoS-aware service selection models
4.4 QoS-aware service selection strategies
4.5 QoS-aware service selection techniques
5 QoS-driven Composition Adaptation
5.1 Adaptation model
5.2 Adaptation timing
5.3 Adaptation subject
5.4 Scope of adaptation effect
5.5 Adaptation mechanism
6 Summary and Research Challenges
III QoS Modelling in Pervasive Environments
1 WSQM Overview
2 A Semantic End-to-End QoS Model for Pervasive Environments
2.1 QoS Core ontology
2.2 Infrastructure QoS ontology
2.3 Service QoS ontology
2.4 User QoS ontology
3 Discussion
IV QoS-aware Service Composition in Pervasive Environments
1 QASCO Overview
2 QoS-aware Service Composition Model
2.1 QoS model
2.2 Composition model
2.3 QoS aggregation
3 The QASSA Algorithm
3.1 Design Rationale
3.2 Local Selection Phase
3.2.1 Preliminary Investigation
3.2.2 Local Selection in QASSA
3.3 Global Selection Phase
3.4 Computational Complexity Analysis
4 Distributing QASSA
5 Evaluation and Discussion
V QoS-driven Composition Adaptation in Pervasive Environments
1 Approach Baseline
1.1 Global and Proactive QoS Monitoring
1.2 Service Substitution
2 Background and Definitions
3 Behavioural Adaptation Strategy: Overview
4 From a User Task to a Behavioural Graph
5 The Task Class Concept
5.1 Overview
5.2 Formal Definition
6 A Subgraph-Homeomorphism-based Approach to Behavioural Adaptation
6.1 Preliminary Verifications
6.2 Extended Vertex Disjoint Subgraph Homeomorphism
6.2.1 Semantic vertex matching
6.2.2 Data constraints
6.2.3 Particular vertex mappings
7 Evaluation and Discussion
VI QASOM: A QoS-Aware Service-Oriented Middleware for Pervasive Environments
1 SemEUsE Research Project
1.1 SemEUsE Architecture
1.2 Contribution to SemEUsE
1.2.1 QoS-enabled Composition
1.2.2 Reconfiguration
2 QASOM Middleware
2.1 QASOM Architecture
2.1.1 QoS-aware Service Composition Framework
2.1.2 QoS-driven Composition Adaptation Framework
2.2 Prototype Implementation
2.3 Specifying User Tasks
2.4 Specifying Executable Service Compositions
3 Experimental Results
3.1 Experimental set up
3.2 Performance of QASSA (the centralized version)
3.2.1 Impact of the Aggregation Approach
3.2.2 Impact of User QoS requirements
3.3 Performance of QASSA (the distributed version)
3.4 Performance of Transforming the User Task into a Behavioural Graph
VII Conclusion
1 Contributions
2 Perspectives
2.1 Short-term perspectives
2.2 Long-term perspectives
References