Autonomous Control for a Reliable Internet of Services 1st edition by Ivan Ganchev, van der Mei, Hans van den Berg ISBN 3319904140 978-3319904146

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ISBN 10: 3319904140
ISBN 13: 978-3319904146
Author: Ivan Ganchev, van der Mei, Hans van den Berg 

This open access book was prepared as a Final Publication of the COST Action IC1304 “Autonomous Control for a Reliable Internet of Services (ACROSS)”. The book contains 14 chapters and constitutes a show-case of the main outcome of the Action in line with its scientific goals. It will serve as a valuable reference for undergraduate and post-graduate students, educators, faculty members, researchers, engineers, and research strategists working in this field.

The explosive growth of the Internet has fundamentally changed the global society. The emergence of concepts like SOA, SaaS, PaaS, IaaS, NaaS, and Cloud Computing in general has catalyzed the migration from the information-oriented Internet into an Internet of Services (IoS). This has opened up virtually unbounded possibilities for the creation of new and innovative services that facilitate business processes and improve the quality of life. However, this also calls for new approaches to ensuring the quality and reliability of these services. The objective of this book is, by applying a systematic approach, to assess the state-of-the-art and consolidate the main research results achieved in this area.

Autonomous Control for a Reliable Internet of Services 1st Table of contents:

Part I: Introduction to Internet of Services

Chapter 1: Introduction to the Internet of Services (IoS)

• Defining the Internet of Services

• The Evolution of IoS and Its Impact on Society

• Key Technologies Enabling IoS

• Challenges in Ensuring the Reliability of IoS

Chapter 2: Foundations of Autonomous Control Systems

• Principles of Autonomous Systems

• Types of Autonomous Control Systems

• Benefits of Autonomous Control in IoS

• Key Components and Frameworks for Autonomous Control

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Part II: Autonomous Control Frameworks and Architectures

Chapter 3: Autonomous Control Architectures

• Design Principles of Autonomous Control Systems

• Hierarchical vs. Distributed Control Architectures

• Integration of Autonomous Systems in IoS

• Case Studies of Control Architectures in Practice

Chapter 4: Machine Learning and Artificial Intelligence in Autonomous Control

• Introduction to AI and Machine Learning Techniques

• Role of AI in Autonomous Decision-Making

• Deep Learning and Reinforcement Learning for IoS

• Case Studies and Applications of AI in Autonomous Systems

Chapter 5: Self-Organization and Adaptation

• Principles of Self-Organizing Systems

• Adaptation Mechanisms in Autonomous Control

• Real-Time Decision Making and Resource Allocation

• Scalability and Fault Tolerance in Self-Organizing IoS

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Part III: Ensuring Reliability in IoS

Chapter 6: Reliability in Internet of Services

• Understanding Reliability in IoS

• Types of Failures and Risks in IoS

• Approaches to Ensuring Reliability in Dynamic Environments

• Dependability, Fault Tolerance, and Recovery

Chapter 7: Autonomous Fault Detection and Diagnosis

• Techniques for Fault Detection in IoS

• Autonomous Diagnostic Systems

• Predictive Maintenance and Error Prevention

• Leveraging IoT for Fault Detection in IoS

Chapter 8: Autonomous Recovery and Adaptation

• Autonomous Recovery Mechanisms

• Adaptation Strategies to Restore Reliability

• Redundancy and Backup Systems

• Real-World Applications of Autonomous Recovery in IoS

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Part IV: Applications of Autonomous Control in IoS

Chapter 9: Autonomous Control in Cloud and Edge Computing

• Cloud and Edge Computing Architectures

• Integrating Autonomous Control into Cloud Services

• Ensuring Reliability in Distributed Systems

• Applications of Autonomous Control in Edge and Cloud Computing

Chapter 10: Autonomous Systems in Smart Cities

• IoS for Smart Cities: Challenges and Solutions

• Autonomous Control for Traffic Management and Resource Allocation

• Ensuring Reliable IoS in Smart Grids and Infrastructure

• Case Studies of Autonomous Control in Smart Cities

Chapter 11: Autonomous Systems in Healthcare and Industry

• The Role of Autonomous Control in Healthcare IoS

• Industrial IoS: Automation, Reliability, and Security

• Autonomous Systems for IoT-Enabled Healthcare Solutions

• Applications of Autonomous Control in Industrial IoS

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Part V: Security and Privacy in Autonomous IoS

Chapter 12: Security Challenges in Autonomous Control for IoS

• Identifying Security Risks in Autonomous IoS Systems

• Securing Communication and Data in IoS

• Threats and Attacks on Autonomous Systems

• Security Frameworks for Autonomous Control

Chapter 13: Privacy Concerns and Ethical Implications

• Privacy Challenges in Autonomous IoS Systems

• Regulatory and Compliance Considerations

• Ethical Implications of Autonomous Decision-Making

• Balancing Privacy and Control in IoS

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Part VI: Future Directions and Challenges

Chapter 14: Emerging Trends in Autonomous Control for IoS

• The Future of Autonomous Systems and IoS

• Emerging Technologies Shaping Autonomous Control (5G, Blockchain, etc.)

• Autonomous Control in Decentralized IoS

• Integration of Quantum Computing with Autonomous Control

Chapter 15: Challenges and Open Research Areas

• Open Challenges in Autonomous Control for IoS

• Research Gaps and Future Opportunities

• Developing Standards for Autonomous Systems in IoS

• The Role of Academia and Industry in Advancing Autonomous IoS

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Appendices

• A. Glossary of Key Terms

• B. Further Reading and Resources

• C. List of Acronyms

Index

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