This book covers several aspects related the evolution of Information Systems into Pervasive Information Systems. New IT trends have an important impact on IT infrastructures, which become increasingly heterogeneous, flexible, and dynamic. These new trends are transforming Information Systems into what we call Pervasive Information Systems. The purpose of this book is to combine “state-of-the-art” solutions from various research communities (such as Information Systems Engineering, Cloud Computing, Fog/Edge Computing, Pervasive systems, Distributed systems, and Middleware systems) related to the Pervasive Information Systems emergence as a common point of view. Through these multiple contributions, this book tackles important challenges concerning Information Systems evolution, promoting a holistic view of Pervasive Information System.
Pervasive Information Systems (PIS) can be defined as a new class of Information Systems. It can be characterized by an IT that is gradually embedded in the physical environment and can accommodate the user’s requirements and desires when necessary. This evolution implies considering Information Systems beyond the organization's physical environment to integrate new technologies transparently, leading to a pervasive environment whose behavior should be more and more reactive & proactive. It corresponds to an important change in Information Systems Engineering. Pervasive Information Systems are deeply multidisciplinary systems, demanding a holistic view in which multiple domains are invited to contribute.
Author(s): Manuele Kirsch Pinheiro, Carine Souveyet, Philippe Roose, Luiz Angelo Steffenel
Publisher: Springer
Year: 2023
Language: English
Pages: 194
City: Cham
Preface
Contents
What Is a “Pervasive Information System” (PIS)?
1 Introduction
2 What Is an Information System (IS)?
3 Information System Evolution: Towards a Pervasive Information System
4 Defining Pervasive Information System
5 PIS Requirements and Characteristics
5.1 Minimal Requirements
5.2 Additional Characteristics
6 Final Remarks
References
Design and Modeling in Pervasive Information Systems
1 Introduction
2 Research Approach
3 Results of the Systematic Mapping Study
3.1 RQ1. What Is the Distribution Evolution of the Sources?
3.2 RQ2. How Is Addressed the Design and Modeling of Pervasive Information Systems in Research Proposals?
3.2.1 Paper Type
3.2.2 Nature of the Proposal
3.2.3 Added Value of the Proposal
3.2.4 Usage of the IoT Based System
3.2.5 Application Domain
3.2.6 Discussion
3.3 RQ3. How Are Met the PIS Requirements in These Design-Dedicated Research Proposals?
4 Conclusion and Open Issues
References
SMS References*12pt
The Context Awareness Challenges for PIS
1 Introduction
2 Literature Review
3 Towards a Context Facility
4 Impact of a Context Facility Vision on Context Management
5 Discussion
6 Conclusion
Bibliography
Middleware Supporting PIS: Requirements, Solutions, and Challenges
1 Introduction
2 Requirements for PIS Middleware
2.1 Sensing and Actuation Support
2.2 Context-Awareness
2.3 Dynamic Adaptation Capabilities
2.4 Quality of Context Management
2.5 Application Development Support
2.6 Support for Multiple Interaction Patterns
2.7 Enabling Interoperability
2.8 Security and Privacy
2.9 Scalability
2.10 Energy Efficiency and Energy-Awareness
3 State of the Art on Middleware Supporting PIS Requirements
3.1 QoC Management
3.2 Protocols for Multiple Interaction Patterns
3.3 Enabling Interoperability
3.4 Security and Privacy
3.5 Scalability
3.6 Energy Efficiency and Energy-Awareness
4 PIS Middleware Proposals
4.1 QoC Management with QoCIM and Processing Functions
4.2 muDEBS
4.3 DeX Mediators
4.4 QoDisco
4.5 IoTVar
5 Open Challenges for Future PIS Middleware
5.1 Enabling End-to-End Interoperability
5.2 PIS Adaptive Middleware
5.3 Support to Develop PIS Relying on Middleware
5.4 Privacy and Security
5.5 Context Data Sampling and Filtering
5.6 PIS Sustainability
6 Conclusion
References
Edge Computing and Learning
1 Introduction
2 Edge Computing in Pervasive Computing
2.1 Principles and Examples
2.2 Terminology
3 Edge Pervasive Applications
3.1 Challenges
3.1.1 Application Design
3.1.2 Application Security
3.1.3 Application Data
3.1.4 Application Context
3.1.5 Application Placement
3.2 Pervasive Platforms
3.3 Conclusion
4 Machine Learning on the Edge
4.1 Principles
4.2 A Variety of Actors
4.3 A Specific Life-Cycle
4.4 Conclusion
5 Challenges
5.1 Model Development
5.2 Installation
5.3 Configuration
5.4 Data Collection
5.5 Model Execution
5.6 Model Monitoring
5.7 Model Update
6 Recent Trends
6.1 Microservice-Based Platform
6.2 Federated Learning
7 Conclusion
References
PIS: IoT & Industry 4.0 Challenges
1 Introduction
2 State of the Art
3 Existing Solutions
3.1 IIoT Protocols
3.2 Industry 4.0 Architectures
3.3 Standards
4 Discussions
5 Conclusions
References
PIS: Interoperability and Decision-Making Process—A Review
1 Introduction
2 Background and Related Reviews
3 Systematic Research Process
4 IT Artifacts for Interoperability and Their Implications in PIS/SoIS
5 Ten Factors Influencing PIS/SoIS Interoperability
5.1 Technical Factors
5.2 Human Factors
5.3 Organizational Factors
5.4 Impact of Interoperability Factors in the Decision-making Processes
6 Key Findings and Reflections
7 Final Remarks and Future Directions
References
