Complex Systems and Clouds A Self-Organization and Self-Management Perspective
“Complex Systems and Clouds: A Self-Organization and Self-Management Perspective” by Dan C. Marinescu, published by Elsevier Science on October 4, 2016, offers a detailed examination of self-organizing systems within the context of large-scale distributed computer systems. This 238-page book delves into the complexities of these systems, drawing parallels with natural processes in physics and chemistry to illustrate how self-organization can be effectively achieved in technological environments.
Readers will find a comprehensive exploration of the principles necessary for designing self-organizing systems, moving beyond mere theoretical discussions. The book emphasizes the importance of transitioning from deterministic approaches to non-deterministic and adaptive methodologies in the development of large-scale systems. With a focus on topics such as networking and distributed systems, this edition serves as a valuable resource for those interested in the intersection of technology and self-organization.
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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.
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