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Study on Cloud Services Composition Based on Unified Ontology

摘要第5-7页
Abstract第7-9页
List of Acronyms第14-16页
Chapter 1 Introduction on Cloud Services Composition第16-37页
    1.1 Introduction第16-17页
    1.2 Fundamentals of Cloud Services Composition第17-25页
        1.2.1 Cloud Computing第17-20页
        1.2.2 Overview of Cloud Services第20-22页
        1.2.3 Cloud Services Composition第22-24页
        1.2.4 Ontology第24-25页
    1.3 Research Scope and Content第25-36页
        1.3.1 Research Aim第25页
        1.3.2 Research Objective and Significance第25-26页
        1.3.3 Research Status第26-32页
        1.3.4 Research Works and Contributions第32-34页
        1.3.5 Dissertation Organization第34-36页
    1.4 Summary第36-37页
Chapter 2 Unified Ontology Based Approach for Cloud Service Selection第37-73页
    2.1 Introduction第37-38页
    2.2 Related Literature and Problem Statement第38-41页
        2.2.1 Related Works第38-40页
        2.2.2 Problem Statement第40-41页
    2.3 A Framework for Cloud Service Selection第41-46页
    2.4 Unified Ontology第46-54页
        2.4.1 Main Classes第47页
        2.4.2 Service Domain第47-51页
        2.4.3 Cloud Service Characteristics第51-53页
        2.4.4 Qo S Criteria第53-54页
    2.5 Unified Ontology based Approach for Cloud Service Selection第54-66页
        2.5.1 Services-Clustering Algorithm第54-59页
        2.5.2 Functional Matching Method第59-61页
        2.5.3 Non-Functional Ranking第61-66页
    2.6 Case Study第66-67页
    2.7 Experiment and Analysis第67-71页
        2.7.1 Experiment Setting第67-68页
        2.7.2 Experiment Results and Analysis第68-71页
    2.8 Summary第71-73页
Chapter 3 A Qo S Combinational Approach for Cloud Services Composition第73-114页
    3.1 Introduction第73-74页
    3.2 Related Literature and Problem Statement第74-77页
        3.2.1 Related Works第74-76页
        3.2.2 Problem Statement第76-77页
    3.3 Problem Formulation第77-84页
    3.4 Description of Qo S Combinational Approach第84页
    3.5 QoS Combinational Approach for Cloud Services Composition第84-97页
        3.5.1 Determining Qo S Local Constraints第85-88页
        3.5.2 Finding h Excellent Candidate Cloud Services第88-91页
        3.5.3 Finding Near-to-Optimal Composite Service using Global Constraints第91-96页
        3.5.4 Flow Chart of Steps in Our Approach第96-97页
    3.6 Case Study第97-105页
        3.6.1 Scenario第97-98页
        3.6.2 Implementation of our approach第98-105页
    3.7 Experiment and Analysis第105-112页
        3.7.1 Experiment Setting第105-106页
        3.7.2 Experiment Results and Analysis第106-112页
    3.8 Summary第112-114页
Chapter 4 Semantic-Aware Approach For Automatic Cloud Services Composition第114-137页
    4.1 Introduction第114-115页
    4.2 Related Literature and Problem Statement第115-117页
        4.2.1 Related Works第115-116页
        4.2.2 Problem Statement第116-117页
    4.3 Semantic-Aware Approach for Automatic Cloud Services Composition第117-128页
        4.3.1 Efficient Output-Input Matching Algorithm for Building a Semantic Network第117-120页
        4.3.2 Forward-Chaining based Algorithm for Finding Composite Services第120-124页
        4.3.3 Hybrid Ranking Method for Selecting Optimal Composite Service第124-126页
        4.3.4 Flow Chart of Steps in the Proposed Approach第126-128页
    4.4 Case Study第128-132页
        4.4.1 Building Semantic Network第129页
        4.4.2 Producing Composite Services第129-131页
        4.4.3 Ranking Composite Services第131-132页
    4.5 Experiment and Analysis第132-135页
        4.5.1 Experiment Setting第132-133页
        4.5.2 Experiment Results and Analysis第133-135页
    4.6 Summary第135-137页
Chapter 5 Colored Petri Nets Based Model and Verification For Cloud Services Composition第137-163页
    5.1 Introduction第137-138页
    5.2 Related Literature and Problem Statement第138-140页
        5.2.1 Related Works第138-140页
        5.2.2 Problem Statement第140页
    5.3 Basic Concepts of Colored Petri Nets第140-142页
        5.3.1 Petri Nets第140-141页
        5.3.2 Colored Petri Nets第141-142页
    5.4 Colored Petri Nets based Model and Verification for Cloud Services Composition第142-151页
        5.4.1 Modeling Services Composition in Colored Petri Nets第142-147页
        5.4.2 Verifying of Services Composition in Colored Petri Nets第147-151页
    5.5 Case Study第151-162页
        5.5.1 Flight Ticket Purchase第151-158页
        5.5.2 Translating Case Study第158-162页
    5.6 Summary第162-163页
Chapter 6 Conclusions and Future Works第163-166页
    6.1 Conclusions第163-164页
    6.2 Future Works第164-166页
References第166-177页
Acknowledgements第177-179页
List of Publications第179-181页
List of Research Projects第181-182页
Appendix 1第182-183页

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