Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVIII: Special Issue In Memory of Univ. Prof. Dr. Roland Wagner

Description

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 48th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains 8 invited papers dedicated to the memory of Prof. Dr. Roland Wagner. The topics covered include distributed database systems, NewSQL, scalable transaction management, strong consistency, caches, data warehouse, ETL, reinforcement learning, stochastic approximation, multi-agent systems, ontology, model-driven development, organisational modelling, digital government, new institutional economics and data governance. Preface Organization Message from Bruno Buchberger: Roland Wagner - Scientist with a Big Heart Contents Distributed Database Systems: The Case for NewSQL 1 Introduction 2 Principles of Distributed Database Systems 3 SQL Database Systems 4 NoSQL Database Systems 5 The Case for NewSQL 5.1 NewSQL Database Systems 5.2 Spanner 5.3 LeanXcale 6 Conclusion References Boosting OLTP Performance Using Write-Back Client-Side Caches 1 Introduction 2 Extended Cache Manager 2.1 An Architecture 2.2 ACID Semantics: Sessions and Leases 2.3 Range Predicates and QRCs 2.4 Background Worker Threads, BGTs 2.5 Discussion 3 TPC-C Implementation 3.1 New-Order Transaction 3.2 Stock-Level Transaction 3.3 BGTs 3.4 Persistent Cache 4 Evaluation 4.1 One Warehouse: Vertical Scalability 4.2 Multiple Warehouses: Horizontal Scalability 4.3 Replication for Durability 4.4 Memory Requirement 4.5 Limited Memory 5 Related Work 6 Future Research References pygrametl: A Powerful Programming Framework for Easy Creation and Testing of ETL Flows 1 Introduction 2 Example Scenario 3 Overview of the Framework 4 Data Source Support 5 Dimension Support 5.1 Basic Dimension Support 5.2 Advanced Dimension Support 6 Fact Table Support 7 Flow Support 8 Testing Support 8.1 Drawn Table (DT) 8.2 Constraints 8.3 Assertions 8.4 Variables 8.5 Using Drawn Table Testing as a Python Package 8.6 Using Drawn Table Testing as a Stand-Alone Tool 9 Supporting Functionality 9.1 Functions 9.2 Parallelism 9.3 Editor Support 10 Evaluation 10.1 Productivity 10.2 Performance 11 Case Study 12 Experiences from Open-Sourcing pygrametl 13 Related Work 13.1 Data Integration Tools 13.2 Parallelism 13.3 Testing 14 Conclusion and Future Work References A Data Warehouse of Wi-Fi Sessions for Contact Tracing and Outbreak Investigation 1 Introduction 2 Related Works 3 Proposed Solution 3.1 Conceptual Model 3.2 Logical Representation 3.3 Physical Implementation 3.4 Data Staging 3.5 Data Analysis 4 Case Study 5 Conclusion References Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER 1 Introduction 2 The Main Results 2.1 Abstract Setting and Main Theorem 2.2 Convergence Proof for PPO 2.3 Convergence Proof for RUDDER 3 Assumptions and Proof of Theorem1 3.1 The Stochastic Approximation Theory: Borkar and Karmakar and Bhatnagar 3.2 Application to Proof of Main Result A Appendix A.1 Further Details on PPO A.2 Further details on RUDDER A.3 Causality and Reward-To-Go A.4 Precise statement of Assumptions A.5 Further Details concerning the Sampling Process A.6 Further Details for Proof of Theorem1 A.7 Finite Greediness is Sufficient to Converge to the Optimal Policy References Revival of MAS Technologies in Industry 1 Expectations 2 Past of Using Agents in Industry 3 Cluster 4.0 Integration Platform 3.1 Platform Overview 3.2 Connections of Agents to Machines via OPC UA 3.3 Semantic Description of the Production 4 Demonstration 5 Conclusions References From Strategy to Code: Achieving Strategical Alignment in Software Development Projects Through Conceptual Modelling 1 Introduction 2 Related Work 3 Background 3.1 Organizational Modelling with Lite* 3.2 Business Process Modelling Using Communication Analysis 3.3 Information System Modelling Using the OO-Method 4 S2C: A Methodological Approach from Strategy to Code 4.1 Working Example 4.2 Stage 1: Organizational Modeling with Lite* 4.3 Transformation: From Organizational Model to Business Process Model 4.4 Stage 2: Business Process Modelling with Communication Analysis 4.5 Transformation: From Business Processes Model to Information System Model 4.6 Stage 3: Information System Modelling with OO-Method 4.7 Transformation: From Information System Model to Working Software 5 Discussion 6 Conclusions and Future Work References On State-Level Architecture of Digital Government Ecosystems: From ICT-Driven to Data-Centric 1 Introduction 2 From ICT-Driven to Data-Centric 3 On Large-Scale ICT Systems and Institutions 4 Digital Government Architecture 4.1 Data Governance Principles 4.2 Data Governance Architecture Defined 4.3 IT System Interoperability 4.4 IT Service Provision 4.5 Evolving Digital Government 4.6 Data Governance Architecture in Practice 5 Established and Emerging e-Government Technologies 5.1 The X-Road Data Exchange Platform 5.2 Other Data Exchange Platforms 5.3 Auxiliary Technologies for Digital Government 6 Discussion 6.1 On Step-by-Step Emergence of Digital Government Solutions 6.2 On e-Democracy and e-Administration 7 Conclusion References Author Index