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  • Web服務組合中組件服務的優化和驗證技術研究
    該商品所屬分類:計算機/網絡 -> 網頁制作
    【市場價】
    860-1246
    【優惠價】
    538-779
    【介質】 book
    【ISBN】9787030498779
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    內容介紹



    • 出版社:科學
    • ISBN:9787030498779
    • 作者:編者:陳莉萍
    • 頁數:230
    • 出版日期:2016-01-01
    • 印刷日期:2016-01-01
    • 包裝:平裝
    • 開本:16開
    • 版次:1
    • 印次:1
    • 《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.
    • 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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