𝔖 Bobbio Scriptorium
✦   LIBER   ✦

[Studies in Computational Intelligence] Computers,Networks, Systems, and Industrial Engineering 2011 Volume 365 || An Intelligent Multi-Agent Model for Resource Virtualization: Supporting Social Media Service in Cloud Computing

✍ Scribed by Lee, Roger


Book ID
121082284
Publisher
Springer Berlin Heidelberg
Year
2011
Tongue
English
Weight
550 KB
Edition
1
Category
Article
ISBN
3642213758

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✦ Synopsis


The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence – quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results. Β  The purpose of the 1st ACIS International Conference on Computers, Networks, Systems, and Industrial Engineering (CNSI 2011) was held on May23-25, 2011 in Jeju, Jeju Island, South Korea is to bring together scientist, engineers, computer users, students to share their experiences and exchange new ideas, and research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them Β  The conference organizers selected the best 22 papers from those papers accepted for presentation at the conference in order to publish them in this volume.Β  The papers were chosen based on review scores submitted by members of the program committee, and underwent further rigorous rounds of review.


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