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Intelligent computing in large-scale systems

Published online by Cambridge University Press:  25 March 2015

Joanna Kołodziej ,
Horacio González-Vélez ,
Fatos Xhafa  and
Leonard Barolli
Joanna Kołodziej
Affiliation:
Department of Computer Science, Cracow University of Technology, ul. Warszawska 24, 31-155 Cracow, Poland e-mail: jokolodziej@pk.edu.pl
Horacio González-Vélez
Affiliation:
School of Computing, National College of Ireland, Mayor Street, IFSC, Dublin 1, Ireland e-mail: horacio@ncirl.ie
Fatos Xhafa
Affiliation:
Departament de Ciéncies de la Computació, Universitat Politècnica de Catalunya Campus Nord, Ed. Omega, 08034 Barcelona, Spain e-mail: fatos@lsi.upc.edu
Leonard Barolli
Affiliation:
Department of Information and Communication Engineering, Fukuoka, Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan e-mail: barolli@fit.ac.jp
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Abstract

Intelligent computing in large-scale systems provides systematic methodologies and tools for building complex inferential systems, which are able to adapt, mine data sets, evolve, and act in a nimble manner within major distributed environments with diverse architectures featuring multiple cores, accelerators, and high-speed networks.

We believe that the papers presented in this special issue ought to serve as a reference for students, researchers, and industry practitioners interested in the evolving, interdisciplinary area of intelligent computing in large-scale systems. We very much hope that readers will find in this compendium new inspiration and ideas to enhance their own research.

Type
Articles
Information
The Knowledge Engineering Review , Volume 30 , Issue 2: Intelligent Computing in Large–Scale Systems , March 2015 , pp. 137 - 139
Copyright
© Cambridge University Press, 2015 

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References

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