Complex Systems and Clouds
A Self-Organization and Self-Management Perspective
Nonfiction, Computers, Advanced Computing, Parallel Processing, Networking & Communications, Internet
| 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
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
