Services Computing - SCC 2019 : 16th International Conference : held as part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25-30, 2019 : Proceedings

This volume constitutes the proceedings of the 16th International Conference on Services Computing 2019, held as Part of SCF 2019 in San Diego, CA, USA in June 2019. The 9 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They cover topics such as: foundations of services computing; scientific workflows; business process integration and management; microservices; modeling of services systems; service security and privacy; SOA service applications; and service lifecycle management. Preface 6 Organization 8 Contents 10 A Quality-Aware Web API Recommender System for Mashup Development 11 1 Introduction 11 2 Background 13 2.1 Empirical Study 13 2.2 Web API Quality 16 2.3 Matrix Factorization 17 3 Quality-Aware Web API Recommender System 17 3.1 Problem Definition 18 3.2 Web API Recommendation Based on Quality 19 4 Experiments and Results 20 4.1 Experimental Setup 20 4.2 Evaluation Metrics 20 4.3 Baselines 21 4.4 Experimental Results 21 5 Related Work 23 6 Conclusion 24 References 24 Practical Verification of Data Encryption for Cloud Storage Services 26 1 Introduction 26 2 Related Works 28 3 Problem Formulation 29 3.1 System Model 29 3.2 Threat Model 30 3.3 Design Goals 30 4 The Proposed Scheme 30 4.1 Overview 30 4.2 Setup 31 4.3 Data Encapsulation 32 4.4 Tag Generation 33 4.5 Verification 33 4.6 Data Access and Updating 34 5 Security Analysis 35 6 Performance Evaluation 35 6.1 Parameters lk and lv 36 6.2 Theoretic Analysis 36 6.3 Experiment Result 38 7 Conclusion and Future Work 39 References 40 Generating Personalized and Certifiable Workflow Designs: A Prototype 42 Abstract 42 1 Introduction 42 2 Related Work and Positioning 43 3 Toward an Assistant Supporting Process Design 45 3.1 Input Formalization Language 45 3.2 Similarity Links 48 3.3 Process Generation 50 4 Conclusion 52 4.1 Preliminary Results 52 4.2 Limitations and Perspectives 52 References 55 An Empirical Investigation of Real-World QoS of Web Services 58 Abstract 58 1 Introduction 58 2 Research Questions 59 3 QoS Datasets and Design of Experiments 61 3.1 QoS Datasets and Basic Statistics 61 3.2 Design of Experiments 62 4 Analytic Results 65 5 Discussion 71 6 Conclusions 74 References 75 Towards the Readiness of Learning Analytics Data for Micro Learning 76 Abstract 76 1 Introduction 77 2 Micro Learning System 77 2.1 Pre-processing Model 78 2.2 Recommendation and Prediction Models 78 3 Annotation and Segmentation 79 4 Recommendation 79 4.1 Insufficient Data Source 79 4.2 Inappropriate and Unknown Data Source 80 5 Prediction and Analysis Tasks 81 5.1 Learning Performance Prediction 81 5.2 User Behaviour Prediction 81 6 Data Requirements and Challenges 81 6.1 Data Requirement for Recommendation 82 6.2 Data Requirements for Pre-processing 82 6.3 Current Challenges 83 7 Conclusion and Future Research 84 Acknowledgement 84 References 84 Personalized Service Recommendation Based on User Dynamic Preferences 87 1 Introduction 87 2 Related Work 89 3 Proposed Personalized Service Recommendation Based on User Dynamic Preferences 91 3.1 Problem Definition 91 3.2 User Preference Profile Model 92 3.3 LSTM-RNN Model for User Preference Prediction 94 3.4 Service Recommendation 96 4 Experiments and Results 97 4.1 Experimental Setup and Dataset Description 97 4.2 Performance Metric 97 4.3 Results 97 5 Conclusion and Future Work 99 References 100 Toward Better Service Performance Management via Workload Prediction 102 Abstract 102 1 Introduction 102 2 Related Work 104 3 System Architecture 105 4 Workload Prediction 107 5 Two-Phase Composition Algorithm 108 5.1 Phase 1: Composition Candidate Selection 108 5.2 Phase 2: Fine-Grained Timing Analysis for Composition Decision Making 109 5.3 Admission Control Consideration 110 5.4 Service Execution 110 6 Experiment Study 111 6.1 Web Service and Workflow Parameter Generation 111 6.2 Workload Generation Using Decompose 112 6.3 Simulated Workflow Execution 113 7 Experimental Results 113 8 Conclusion 115 References 116 Chatbot Assisted Marketing in Financial Service Industry 117 Abstract 117 1 Introduction 117 2 Adoption of A.I. by Financial Service Industry 117 3 Objective and Research Methods 118 3.1 Objective of the Project 118 3.2 Methodology 118 3.2.1 Study Past Related Research 118 3.2.2 Interview 119 4 Discussion and Argument 119 4.1 Banking Chatbots in Singapore 120 4.2 Customer Experience of Chatbot in Singapore 122 4.3 Going Forward 122 5 Conclusion 122 References 123 Application of Deep Learning in Surface Defect Inspection of Ring Magnets 125 Abstract 125 1 Introduction 125 2 General Architecture 126 3 Image Acquisition 127 4 Labeling of Images 128 5 Image Pre-processing 128 6 The Neural Network Model 129 7 Training Procedure and Results 130 8 Conclusion 131 References 132 Author Index 133 Front Matter ....Pages i-ix A Quality-Aware Web API Recommender System for Mashup Development (Kenneth K. Fletcher)....Pages 1-15 Practical Verification of Data Encryption for Cloud Storage Services (Jinxia Fang, Limin Liu, Jingqiang Lin)....Pages 16-31 Generating Personalized and Certifiable Workflow Designs: A Prototype (Manon Froger, Frederick Bénaben, Sébastien Truptil, Nicolas Boissel-Dallier)....Pages 32-47 An Empirical Investigation of Real-World QoS of Web Services (Yang Syu, Chien-Min Wang)....Pages 48-65 Towards the Readiness of Learning Analytics Data for Micro Learning (Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, Ping Yu, Dongming Xu et al.)....Pages 66-76 Personalized Service Recommendation Based on User Dynamic Preferences (Benjamin A. Kwapong, Richard Anarfi, Kenneth K. Fletcher)....Pages 77-91 Toward Better Service Performance Management via Workload Prediction (Hachem Moussa, I-Ling Yen, Farokh Bastani, Yulin Dong, Wei He)....Pages 92-106 Chatbot Assisted Marketing in Financial Service Industry (Jon T. S. Quah, Y. W. Chua)....Pages 107-114 Application of Deep Learning in Surface Defect Inspection of Ring Magnets (Xu Wang, Pan Cheng)....Pages 115-122 Back Matter ....Pages 123-123 This book constitutes the refereed proceedings of the 5th International Conference on Information Processing, ICIP 2011, held in Bangalore, India, in August 2011. The 86 revised full papers presented were carefully reviewed and selected from 514 submissions. The papers are organized in topical sections on data mining; Web mining; artificial intelligence; soft computing; software engineering; computer communication networks; wireless networks; distributed systems and storage networks; signal processing; image processing and pattern recognition. The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018. The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.