Complex Systems and Clouds: A Self-Organization and Self-Management Perspective provides insights into the intricate world of self-organizing systems. Large scale distributed computer systems have evolved into very complex systems and are at the point where they need to borrow self-adapting organizing concepts from nature.
The book explores complexity in big distributed systems and in the natural processes in physics and chemistry, building a platform for understanding how self-organization in big distributed systems can be achieved. It goes beyond the theoretical description of self-organization to present principles for designing self-organizing systems, and concludes by showing the need for a paradigm shift in the development of large-scale systems from strictly deterministic to non-deterministic and adaptive.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Dedication - p. v 6. Preface - p. xi 7. Chapter 1: Complex Systems - p. xiii 8. Chapter 2: Nature-Inspired Algorithms and Systems - p. 32 9. Chapter 3: Managing Complexity of Large-Scale Cyber-Physical Systems - p. 63 10. Chapter 4: Computer Clouds - p. 112 11. Chapter 5: Cloud Self-Organization and Big Data Applications - p. 145 12. Abstract - p. 147 13. 5.1 Big Data Applications in Science and Engineering - p. 149 14. 5.2 A Case Study: Tensor Network Contraction on AWS - p. 154 15. 5.3 Server Coalitions, Combinatorial Auctions, and Big Data - p. 163 16. 5.4 History-Based Rack-Level Coalition Formation - p. 165 17. 5.5 A Combinatorial Auction Protocol - p. 168 18. 5.6 Evaluation of Cloud Policies and Mechanisms - p. 174 19. 5.7 Hierarchical Control Versus Market Mechanisms - p. 176 20. 5.8 History-Based Versus Just-in-Time Coalitions - p. 188 21. 5.9 Analysis and Evaluation of the Proxy Phase - p. 194 22. 5.10 Software Organization for a Reservation System - p. 199 23. 5.11 An Integrated Strategy for Cloud Software Development - p. 202 24. 5.12 Final Thoughts on Self-Organization and Self-Management - p. 204 25. Bibliography - p. 207 26. Index - p. 219
Complex Systems and Clouds: A Self-Organization and Self-Management Perspective provides insights into the intricate world of self-organizing systems. Large scale distributed computer systems have evolved into very complex systems and are at the point where they need to borrow self-adapting organizing concepts from nature.
The book explores complexity in big distributed systems and in the natural processes in physics and chemistry, building a platform for understanding how self-organization in big distributed systems can be achieved. It goes beyond the theoretical description of self-organization to present principles for designing self-organizing systems, and concludes by showing the need for a paradigm shift in the development of large-scale systems from strictly deterministic to non-deterministic and adaptive.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Dedication - p. v 6. Preface - p. xi 7. Chapter 1: Complex Systems - p. xiii 8. Chapter 2: Nature-Inspired Algorithms and Systems - p. 32 9. Chapter 3: Managing Complexity of Large-Scale Cyber-Physical Systems - p. 63 10. Chapter 4: Computer Clouds - p. 112 11. Chapter 5: Cloud Self-Organization and Big Data Applications - p. 145 12. Abstract - p. 147 13. 5.1 Big Data Applications in Science and Engineering - p. 149 14. 5.2 A Case Study: Tensor Network Contraction on AWS - p. 154 15. 5.3 Server Coalitions, Combinatorial Auctions, and Big Data - p. 163 16. 5.4 History-Based Rack-Level Coalition Formation - p. 165 17. 5.5 A Combinatorial Auction Protocol - p. 168 18. 5.6 Evaluation of Cloud Policies and Mechanisms - p. 174 19. 5.7 Hierarchical Control Versus Market Mechanisms - p. 176 20. 5.8 History-Based Versus Just-in-Time Coalitions - p. 188 21. 5.9 Analysis and Evaluation of the Proxy Phase - p. 194 22. 5.10 Software Organization for a Reservation System - p. 199 23. 5.11 An Integrated Strategy for Cloud Software Development - p. 202 24. 5.12 Final Thoughts on Self-Organization and Self-Management - p. 204 25. Bibliography - p. 207 26. Index - p. 219
