The Internet As a Large-Scale Complex System (Santa Fe Institute Studies on the Sciences of Complexity)
Language: English
Published by OUP USA, 2005
- Hardcover
- New

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Brings together chapter contributions from a workshop held at the Santa Fe Institute in March 2001. This volume aims to capture a snapshot of some features of the Internet that may be fruitfully approached using a complex systems perspective, which means using interdisciplinary tools and methods to tackle the subject area. Editor(s): Park, Kihong; Willinger, Walter. Series: Santa Fe Institute Studies on the Sciences of Complexity. Num Pages: 322 pages, 36 halftones, 76 line illus. BIC Classification: JFSJ1; JNR. Category: (P) Professional & Vocational. Dimension: 164 x 242 x 24. Weight in Grams: 606. . 2005. Illustrated. hardcover. . . . .
Seller Inventory # V9780195157208
- Title
- The Internet As a Large-Scale Complex System (Santa Fe Institute Studies on the Sciences of Complexity)
- Author
- . Ed(s): Park, Kihong; Willinger, Walter
- Publisher
- OUP USA
- Publication year
- 2005
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0195157206
- ISBN 13
- 9780195157208
The resulting empirical data have already proven to be invaluable for gaining novel insights into the network's spatio-temporal dynamics, and can be expected to become even more important when tryin to explain the Internet's complex and emergent behavior in terms of elementary networking-based mechanisms. The discoveries of fractal or self-similar network traffic traces, power-law behavior in network topology and World Wide Web connectivity are instances of unsuspected, emergent system traits. Another important factor at the heart of fair, efficient, and stable sharing of network resources is user behavior. Network systems, when habited by selfish or greedy users, take on the traits of a noncooperative multi-party game, and their stability and efficiency are integral to understanding the overall system and its dynamics. Lastly, fault-tolerance and robustness of large-scale network systems can exhibit spatial and temporal correlations whose effective analysis and management may benefit from rescaling techniques applied in certain physical and biological systems. The present book will bring together several of the leading workers involved in the analysis of complex systems with the future development of the Internet.
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