Complex Systems and Clouds

A Self-Organization and Self-Management Perspective

Nonfiction, Computers, Advanced Computing, Parallel Processing, Networking & Communications, Internet
Cover of the book Complex Systems and Clouds by Dan C. Marinescu, Elsevier Science
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Author: Dan C. Marinescu ISBN: 9780128040942
Publisher: Elsevier Science Publication: October 15, 2016
Imprint: Elsevier Language: English
Author: Dan C. Marinescu
ISBN: 9780128040942
Publisher: Elsevier Science
Publication: October 15, 2016
Imprint: Elsevier
Language: English

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
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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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