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Services Computing – SCC 2023: 20th International Conference, Held as Part of the Services Conference Federation, SCF 2023, Shenzhen, China, December ... (Lecture Notes in Computer Science)

معرفی کتاب «Services Computing – SCC 2023: 20th International Conference, Held as Part of the Services Conference Federation, SCF 2023, Shenzhen, China, December ... (Lecture Notes in Computer Science)» نوشتهٔ Min Luo (editor), Liang-Jie Zhang (editor)، منتشرشده توسط نشر Springer Nature Switzerland AG در سال 2024. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

This book constitutes the refereed proceedings of the 20th International Conference on Services Computing, SCC 2023, held in Shenzhen, China, during December 17–18, 2023. The 6 full papers in this book were carefully reviewed and selected from 18 submissions. They are organized in topical sections as follows: business modeling, business consulting, solution creation, service delivery, and software architecture design, development, and deployment. Preface Organization Conference Sponsor – Services Society About the Services Conference Federation (SCF) Contents Research Track “OR” of Rule-Based Specification for Service Choreography 1 Introduction 2 The Specification of the SBVR Model 2.1 An OMG Standard SBVR 2.2 SBVR Model Approach for Service Choreography 3 Rule Specification Applying Inclusive Disjunction (OR) in Acme Travel Case Study 3.1 The Case Study of Acme Travel 4 Result and Discussion 4.1 Definition of Sets - Participant Set and Event Set 4.2 Logical Formulation 5 Discussion 6 Conclusion and Future Work Appendix References Evolutionary Game Theory-Based Incentive Mechanism of Data Sharing in Financial Holdings Group 1 Introduction 2 Assumptions and Construction of the Model 2.1 Assumptions of the Model 2.2 Construction of the Model 3 Analysis of the Model 3.1 Equilibrium Points and the Jacobian Matrix 3.2 Stability Analysis of Equilibrium Points 4 Experiments 4.1 Experimental Results of Scenario 1 4.2 Experimental Results of Scenario 6 4.3 Experimental Results of Scenario 10 4.4 Experimental Results of Scenario 16 5 Conclusion References Blockchain-Driven Pet Healthcare: Integrating NFTs, IPFS, and Smart Contracts for Enhanced Pet Medical Data Management 1 Introduction 2 Related Work 2.1 Medical System for Pet 2.2 Blockchain for Medical Systems 3 Approach 3.1 Traditional Model of Pet Care 3.2 Blockchain-Based Approach for Pet Care Enhancement 4 Evaluation 4.1 IPFS Deployment for Pet Medical Records 4.2 Testing on EVM-Supported Platforms 5 Conclusion References Blockchain Solutions to the Letter-of-Credit Problem: Leveraging NFTs, Smart Contracts, and IPFS 1 Introduction 2 Related Work 2.1 Blockchain in Cash-on-Delivery Systems 2.2 Blockchain and Smart Contracts in E-Commerce: Exploring Existing System Approaches 2.3 Gaps in Current Approaches and Looking Ahead 3 Approach 3.1 Letter-of-Credit (L/C) Traditional Model 3.2 Blockchain-Based Letter-of-Credit System 4 Evaluation 4.1 A Multi-platform Approach: Leveraging EVM-Compatible Chains 4.2 Generating Information on the IPFS Web 4.3 Transaction Analysis 5 Conclusion References Blockchain-Enhanced Pediatric Vaccine Management: A Novel Approach Integrating NFTs, IPFS, and Smart Contracts 1 Introduction 2 Related Work 2.1 Vaccination Data Management and Record-Keeping 2.2 Blockchain-Based Medical/healthcare System 3 Approach 3.1 Traditional Vaccine Management Model for Children 3.2 Blockchain-Based Approach for Vaccine Management in Children 4 Evaluation 4.1 IPFS Deployment for Vaccine Management in Children 4.2 Testing on EVM-Supported Platforms 5 Conclusion References Research Trends in Smart Contracts in Blockchain 3.0 Phase 1 Introduction 2 Blockchain Architecture 2.1 Blockchain Classification 2.2 Blockchain Structure Model 2.3 Smart Contract 3 Research on Horizontal Fields of Smart Contracts 3.1 Supply Chain 3.2 Finance 4 Research on Horizontal Fields of Smart Contracts 4.1 Smart Contract Security Vulnerability Detection 4.2 Data Storage Research 4.3 Algorithm Design Research 5 Conclusion References Short Paper Track An Efficient Data Aggregation Solution for Smart Meters Based on Cloud-Edge Collaboration 1 Introduction 2 Related Work 3 System Models and Threat Models 3.1 System Model 3.2 Threat Model 4 Proposed System 4.1 User Classification 4.2 Confusion Processing 4.3 Aggregation 4.4 Decode 5 Performance Evaluation 5.1 Security Analysis 5.2 Performance Evaluation 6 Conclusion References Author Index
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