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出版社:科學
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ISBN:9787030498779
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作者:編者:陳莉萍
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頁數:230
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出版日期:2016-01-01
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印刷日期:2016-01-01
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包裝:平裝
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開本:16開
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版次:1
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印次:1
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《Web服務組合中組件服務的優化和驗證技術研 究》由陳莉萍編著,This book is to the best of our knowledge, the first of its kind to address service optimization by using aiNet. The aiNet is capable of finding optimal services with different QoS (Quality of Service) properties from similar functionality services, which provides a new approach for service selection. The service optimization selection implements not only QoS properties but also transactional properties, which ensure reliableexecution of composite Web service and construct the optimal composite Web service.Reliability verification is another cool feature in this book. The conformance verification approach with temporal logic is implemented. The expected interaction is usuallydefined by business process execution language (BPEL), which is translated into a colour Petri net model. We use scenarios from egovernment (social services) and lifesciences (analysis of protein sequence information) to illustrate the concepts and tech-niques discussed in this book.
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Preface Chapter 1 Introduction 1.1 Background 1.1.1 Web service model and framework 1.1.2 Web service composition definition 1.1.3 Motivations and goals of Web service standards 1.2 Related standards and technologies 1.2.1 Web service-related standards and technologies 1.2.2 Web service composition standards and technologies 1.2.3 Sample for different standards supporting Web service composition 1.3 Web service composition methods 1.3.1 Web service composition methods based on workflow 1.3.2 Web service composition methods based on semantics 1.4 References Chapter 2 Different Phases of Web Service Composition 2.1 Composite process design 2.2 Deployment 2.3 Component service discovery 2.4 Component service selection 2.4.1 Personal service selection 2.4.2 Cooperative service selection 2.4.3 Service selection based on QoS 2.5 Web service composition verification 2.5.1 Requirements for verification process 2.5.2 Modeling the composition in MSCs 2.6 Composite Web service execution 2.6.1 An example for execution of service composition 2.6.2 Compatible executions 2.6.3 Guaranteeing a composite service execution 2.7 References Chapter 3 What is Component Service Optimization and Verification for Web Service Composition 3.1 Component service optimization 3.1.1 Service optimization challenges 3.1.2 Service optimization spectntm 3.1.3 Optimization approaches 3.1.4 Negotiation-based optimization 3.2 Verification of Web service composition 3.2.1 Verification architecture 3.2.2 Verification properties 3.2.3 Operationalization correctness verification 3.3 References Chapter 4 A New Web Service Optimization with Memory Classifier 4.1 Introduction 4.2 Fuzzy C-means clustering algorithm 4.2.1 Fuzzy C-means functional 4.2.2 Fuzzy C-means clustering algorithm 4.2.3 Parameters of the FCM algorithm 4.3 Artificial immune network 4.3.1 Resource limited artificial immune system 4.3.2 AiNet 4.3.3 iNet 4.3.4 IPAisys 4.4 Ontology-oriented evaluation model description of semantic Web service based QoS 4.5 Evaluation algorithm of Web service based QoS 4.5.1 The objective and subjective synthetic approach for weigh of evaluation attribute 4.5.2 Fuzzy C-means artificial immune network memory classifier (FCMA/NMC) 4.6 Evaluation prototype system of Web service based QoS 4.7 Simulation 4.8 Conclusion 4.9 References Chapter 5 Evaluation Model of Web Service Health Level on End-to-End Network Based on Artificial Immune 5.1 Introduction 5.2 Optimization using artificial immune systems 5.3 ENHMM evaluation model construction 5.3.1 Formation of dynamic evaluation tree 5.3.2 Evaluation data acquired based on evaluation tree 5.3.3 End-to-end network service health evaluation level designed 5.3.4 Evaluation of network health level based on new aiNet immune network 5.4 ENHMM simulations 5.5 Conclusion 5.6 References Chapter 6 Extended Evaluation for Quality of Service in the Community of Web Service 6.1 Introduction 6.2 Building of Web service community 6.2.1 Basic concepts 6.2.2 Dynamic building of Web service community 6.3 Ontology-oriented extended evaluation model description of semantic Web service 6.4 Triangular fuzzy analytic hierarchy process 6.4.1 Triangular fuzzy numbers (TFNs) 6.4.2 Algebraic operations on TFNs 6.4.3 Construction of the FAHP comparison matrices 6.4.4 Value of fuzzy synthetic extent 6.4.5 Calculation of the sets of weight values of the FAHP 6.5 A new evaluation algorithm based on triangular fuzzy number 6.5.1 New triangular fuzzy analytic hierarchy process (NTFAHP) 6.5.2 Assessing of improved fuzzy comprehensive evaluation method 6.6 Evaluation examples 6.6.1 Building of extended evaluation tree in the train booking service community 6.6.2 Service evaluation 6.7 Conclusion 6.8 References Chapter 7 Adaptive Evaluation and Selection of Information System by Triangular Fuzzy Number 7.1 Introduction 7.2 Reviews on information system evaluation theory 7.2.1 User satisfaction research stream 7.2.2 Taxonomy framework of information system evaluation methods 7.3 A new information systems evaluation algorithm based on triangular fuzzy numbers 7.3.1 Index of information system evaluation 7.3.2 The weight obtained from NTFAHP 7.3.3 Numerical examples 7.4 Framework of evaluation system 7.5 Discussion 7.6 Conclusion 7.7 References Chapter 8 Service Selection of Ensuring Transactional Reliability and QoS for Web Service Composition 8.1 Introduction 8.2 Web service transaction descriptions 8.2.1 Transactions overview 8.2.2 Web service transactional property 8.2.3 Composite Web service transactional property 8.3 Transactional automaton services selection 8.3.1 Workflow patterns 8.3.2 Definition of risk tolerance 8.3.3 Transactional automaton services selection 8.4 Transactional automaton model for services selection to Web service composition 8.4.1 I/O automata 8.4.2 Modelling transaction systems 8.4.3 Transactional automaton model for services selection 8.4.4 Example of service selection driven by transactional automaton model 8.5 QoS-based Web service selection 8.5.1 QoS-based Web service model 8.5.2 Qos-based composite Web service 8.5.3 QoS-based service selection for CWS 8.6 Experimentation 8.7 Conclusion 8.8 References Chapter 9 A Formal Transaction Model for Reliable Web Service Composition 9.1 Introduction 9.2 A formal description to Web services composition 9.3 Transaction model for WSC 9.3.1 Transactional properties of Web service 9.3.2 The set of control flow and transaction relationship 9.4 Generating of transaction relationship in the workgroup 9.4.1 Complete set of TF 9.4.2 Automatic generating of TF 9.4.3 Validation of transaction model for Web service composition 9.5 Application of transaction model for Web service composition 9.6 Conclusion 9.7 References Chapter 10 Reliable Execution Based on CPN and Skyline Optimization for Web Service Composition 10.1 Introduction 10.2 Related work 10.3 Reviews on the methodologies for reliable Web services 10.3.1 Fault tolerance 10.3.2 Redundancy 10.3.3 Diversity 10.3.4 Reliable Web services and composition 10.4 A colored Petri-net model of Web service composition 10.4.1 Colored Petri-net 10.4.2 Formal definition of CP-nets 10.4.3 Transactional property description 10.4.4 Tolerance level 10.4.5 TCWS-CPN definition 10.4.6 Services selection of transactional property in the TCWS-CPN 10.4.7 Composite sequence in the CPN 10.5 Execution framework architecture of TCWS-CPN 10.5.1 Execution framework architecture 10.5.2 Example 10.6 Skyline computation intruduction 10.7 QoS-based skyline Web services 10.7.1 The skyline computation problem 10.7.2 Skyline Web services for QoS-based composition 10.7.3 Skyline algorithm of QoS-based Web service selection 10.8 Experimentation 10.9 Conclusion 10.10 References Chapter 11 Conformance Checking for Interaction of Web Service Composition with Temporal Logic 11.1 Introduction 11.2 Conformance checking approach 11.3 Conformance verification and interaction of Web service composition" 11.3.1 Conformance verification 11.3.2 Web service interactions 11.4 Conformance checking framework of for Web service interaction behaviours 11.5 Web service composition interaction modeling: BPEL-CPN model 11.5.1 Definition of BCPN model 11.5.2 Transformation of BPEL into BCPN model 11.6 Conformance checking for interaction of Web service composition 11.6.1 Interaction fitness and appropriateness computation 11.6.2 Temporal properties of BCPN model 11.6.3 Conformance checking algorithm for interaction of Web service composition 11.7 Examples and experiment 11.7.1 Fitness and appropriateness computation of example 11.7.2 Conformance checking with temporal logic 11.8 Conclusion 11.9 References
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