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.
- Analyzes the effect of self-organization applied to computer clouds
- Furthers research on principles of self-organization of computing and communication systems inspired by a wealth of self-organizing processes and phenomena in nature and society
- Presents a unique analysis of the field, with solutions and case studies
Chapter 1: Complex Systems
Chapter 2: Nature-Inspired Algorithms and Systems
Chapter 3: Managing Complexity of Large-Scale Cyber-Physical Systems
Chapter 4: Computer Clouds
Chapter 5: Cloud Self-Organization and Big Data Applications
As a guide to complex systems and computer clouds, this book provides insights into the intricate world of self-organizing systems
Dan C. Marinescu was a Professor of Computer Science at Purdue University in West Lafayette, Indiana from 1984 till 2001 when he joined the Computer Science Department at the University of Central Florida. He has held vislCĪ
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