Overview
- Shows how bio-inspired systems – which are inherently robust, flexible and have high resilience towards critical errors - hold immense potential for next generation network systems
- Outlines computing and problem solving techniques inspired by biological systems that can provide flexible, adaptable ways of solving networking problems
- Provides insights into how the study of biological systems can make network systems more flexible, adaptable, self-organized, self-aware, and self-sufficient
- Includes supplementary material: sn.pub/extras
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Table of contents (11 chapters)
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Mapping Biological Systems to Network Systems
Authors: Heena Rathore
DOI: https://doi.org/10.1007/978-3-319-29782-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-29780-4Published: 19 February 2016
Softcover ISBN: 978-3-319-80652-5Published: 30 March 2018
eBook ISBN: 978-3-319-29782-8Published: 10 February 2016
Edition Number: 1
Number of Pages: IX, 196
Number of Illustrations: 70 b/w illustrations, 37 illustrations in colour
Topics: Communications Engineering, Networks, Mathematical and Computational Engineering, Artificial Intelligence, Bioinformatics