Overview
- Latest research on Artificial Intelligence-based Models and Techniques in Scalable Computing
- Recent Advances in Intelligent Modelling and Simulation
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 422)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (15 chapters)
-
Future Generation Fuzzy Systems
-
Parallel and Multiobjective Evo-based Techniques and Architectures in Large-scale Global Optimization
-
Nature-Inspired Solutions for Intelligent Networking
-
Economical and Biological Approaches
Keywords
About this book
One of the most challenging issues in today’s large-scale computational modeling and design is to effectively manage the complex distributed environments, such as computational clouds, grids, ad hoc, and P2P networks operating under various types of users with evolving relationships fraught with uncertainties. In this context, the IT resources and services usually belong to different owners (institutions, enterprises, or individuals) and are managed by different administrators. Moreover, uncertainties are presented to the system at hand in various forms of information that are incomplete, imprecise, fragmentary, or overloading, which hinders in the full and precise resolve of the evaluation criteria, subsequencing and selection, and the assignment scores. Intelligent scalable systems enable the flexible routing and charging, advanced user interactions and the aggregation and sharing of geographically-distributed resources in modern large-scale systems.
This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented. All of those technologies have formed the foundation for the intelligent scalable computing that we know of today. We believe that this book will serve as a reference for students, researchers, and industry practitioners working or interested in joining interdisciplinary research in the areas of intelligent decision systems using emergentdistributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics.
This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented. All of those technologies have formed the foundation for the intelligent scalable computing that we know of today. We believe that this book will serve as a reference for students, researchers, and industry practitioners working or interested in joining interdisciplinary research in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics.
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Intelligent Modelling and Simulation
Book Subtitle: Artificial Intelligence-Based Models and Techniques in Scalable Computing
Editors: Joanna Kołodziej, Samee Ullah Khan, Tadeusz Burczy´nski
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-30154-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-30153-7Published: 12 July 2012
Softcover ISBN: 978-3-642-43261-3Published: 09 August 2014
eBook ISBN: 978-3-642-30154-4Published: 11 July 2012
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXIV, 384