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PrefaceChapter 1 Introduction1��1 Background1��1��1 Web service model and framework1��1��2 Web service composition definition1��1��3 Motivations and goals of Web service standards1��2 Related standards and technologies1��2��1 Web service��related standards and technologies1��2��2 Web service composition standards and technologies1��2��3 Sample for different standards supporting Web service composition1��3 Web service composition methods1��3��1 Web service composition methods based on workflow1��3��2 Web service composition methods based on semantics1��4 ReferencesChapter 2 Different Phases of web Service Composition2��1 Composite process design2��2 Deployment2��3 Component service discovery2��4 Component service selection2��4��1 Personal service selection2��4��2 Cooperative service selection2��4��3 Service selectionbased on QoS2��5 Web service composition verification2��5��1 Requirements forverificationprocess2��5��2 Modelingthe compositionin MSCs2��6 Composite Web service execution2��6��1 An example for execution of service composition2��6��2 Compatible executions2��6��3 Guaranteeing a composite service execution2��7 ReferencesChapter 3 What is Component Service Optimization and Verificati on for Web Service Composition3��1 Component service optimization3��1��1 Service optimization challenges3��1��2 Service optimization spectrum3��1��3 Optimization approaches3��1��4 Negotiation��based optimization3��2 Verification of Web service composition3��2��1 Verification architecture3��2��2 Verification properties3��2��3 Operationalization correctness vefification3��3 ReferencesChapter 4 A New Web Service Optimization with Memory CIassifier4��1 Introduction4��2 Fuzzy C��means clustering algorithm��4��2��1 Fuzzy C��means fimctional4��2��2 Fuzzy C��means clustering algorithm4��2��3 Parameters of the FCM algorithm4��3 Artificial immune network4��3��1 Resource limited artificial immune system4��3��2 AiNet4��3��3 iNet4��3��4 IPAisys4��4 Ontology��oriented evaluation model description of semantic Web service based QoS4��5 Evaluation algorithm of Web service based QoS4��5��1 The objective and subjective synthetic approach for weigh ofevaluation attribute4��5��2 Fuzzy C��means artificial immune network memory classifier��FCMAINMC��4��6 Evaluation prototype system of Web service based QoS4��7 Simulation4��8 Conclusion4��9 ReferencesChapter 5 Evaluation Model of Web Service Health Level on End��to��End Network Based on Artificial Immune5��1 Introduction5��2 Optimization using artificial immune svstems5��3 ENHMM evaluation model construction5��3��1 Formation ofdynamic evaluation tree5��3��2 Evaluationdata acquiredbased on evaluationtree5��3��3 End��to��end network service health evaluation level designed5��3��4 Evaluation of network health level based on new aiNet immune network5��4 ENHMM simulations5��5 Conclusion5��6 ReferencesChapter 6 Extended Evaluation for Quality of Service in the Community of Web Service6��1 Introduction6��2 Building Of Wleb service community6��2��1 Basic concepts6��2��2 Dynamic building of Web service community6��3 Ontology��oriented extended evaluation model description of semantic Web service6��4 Triangular fuzzy analytic hierarchy process6��4��1 Triangular fuzzy numbers��TFNs��6��4��2 Algebraic operations on TFNs6��4��3 Construction of the FAHP comparison matrices6��4��4 Value offuzzy synthetic extent6��4��5 Calculation of the sets ofweight values of the FAHP6��5 A new evaluation algorithm based on triangular fuzzy number6��5��1 New triangular fuzzy analytic hierarchy process ��NTFAHP��6��5��2 Assessing of improved fuzzy comprehensive evaluation method6��6 Evaluation examples6��6��1 Building of extended evaluation tree in the train booking service community6��6��2 Service evaluation6��7 Conclusion6��8 ReferencesChapter 7 Adaptive Evaluation and Selection of Information System by Triangular Fuzzy Number7��1 Introduction7��2 Reviews on information system evaluation theory7��2��1 User sarisfaction research stream7��2��2 Taxonomy framework of information system evaluation methods7��3 A new information systems evaluation algorithm based on triangular fuzzy numbers7��3��1 Index of information system evaluation7��3��2 The weight obtained from NTFAHP7��3��3 Numerical examples7��4 Framework of evaluation system7��5 Discussion7��6 Conclusion7��7 ReferencesChapter 8 Service Selection of Ensuring Transactional Reliability and QoS for Web Service Composition8��1 Introduction8��2 Web service transaction descriptions8��2��1 Transactions overview8��2��2 Web service transactional property8��213 Composite Web service transactional property8��3 Transactional automaton services selection8��3��1 Workflow pa��erns8��3��2 Definition ofrisk tolerance8��3��3 Transactional automaton services selection8��4 Transactional automaton model for services selection to Web service composition8��4��1 I��O automata8��4��2 Modelling transaction systems8��4��3 Transactional automaton model for services selection8��4��4 Example of service selection driven by transactional automaton model8��5 QoS��based Web service selection8��5��1 QoS��based Web service model8��5��2 QOS��based composite Web service8��5��3 QoS��based service selection for CWS8��6 Experimentation8��7 Conclusion8��8 ReferencesChapter 9 A Formal Transaction Model for Reliable Web Service Composition9��1 Introduction9��2 A formal description to Web services composition9��3 Transaction model for WSC9��3��1 Transactional properties of Web service9��3��2 The set of controlflow andtransaction relationship9��4 Generating of transaction relationship in the vorkgroup9��4��1 Complete set of TF9��4��2 Automatic generating of TF9��4��3 Validation of transaction model for Web service composition9��5 Application of transaction model for Web service composition9��6 Conclusion9��7 References���� Chapter 10 Reliable Execution Based on CPN and Skyline Optimization for Web Service CompositionChapter 11 Conformance Checking for Interaction of Web Service Composition with Temporal Logic