Biologically Inspired Approaches to Advanced Information Technology [electronic resource] : First International Workshop, BioADIT 2004, Lausanne, Switzerland, January 29-30, 2004, Revised Selected Papers /

The evolution of the Internet has led us to the new era of the information infrastructure. As the information systems operating on the Internet are getting larger and more complicated, it is clear that the traditional approaches based on centralized mechanisms are no longer meaningful. One typical example can be found in the recent growing interest in a P2P (peer-to-peer) computing paradigm. It is quite different from the Web-based client-server systems, which adopt essentially centralized management mechanisms. The P2P computing environment has the potential to overcome bottlenecks in Web computing paradigm, but it introduces another difficulty, a scalability problem in terms of information found, if we use a brute-force flooding mechanism. As such, conventional information systems have been designed in a centralized fashion. As the Internet is deployed on a world scale, however, the information systems have been growing, and it becomes more and more difficult to ensure fau- free operation. This has long been a fundamental research topic in the field. A complex information system is becoming more than we can manage. For these reasons, there has recently been a significant increase in interest in biologically inspired approaches to designing future information systems that can be managed efficiently and correctly.

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Bibliographic Details
Main Authors: Ijspeert, Auke Jan. editor., Murata, Masayuki. editor., Wakamiya, Naoki. editor., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004
Subjects:Computer science., Computer communication systems., Computers., Algorithms., Artificial intelligence., Image processing., Computer Science., Computation by Abstract Devices., Computer Communication Networks., Artificial Intelligence (incl. Robotics)., Algorithm Analysis and Problem Complexity., Image Processing and Computer Vision., Information Systems Applications (incl. Internet).,
Online Access:http://dx.doi.org/10.1007/b101281
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