
Advances in Intelligent Modelling and Simulation
Artificial Intelligence-Based Models and Techniques in Scalable Computing
Springer (Publisher)
Published on 12. July 2012
Book
Hardback
XXIV, 384 pages
978-3-642-30153-7 (ISBN)
Description
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.
More details
Series
Edition
2012 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XXIV, 384 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 27 mm
Weight
776 gr
ISBN-13
978-3-642-30153-7 (9783642301537)
DOI
10.1007/978-3-642-30154-4
Schweitzer Classification
Other editions
Additional editions

Joanna Kolodziej | Samee Ullah Khan | Tadeusz Burczy´nski
Advances in Intelligent Modelling and Simulation
Artificial Intelligence-Based Models and Techniques in Scalable Computing
Book
08/2014
Springer
€106.99
Shipment within 7-9 days

Joanna Kolodziej | Samee Ullah Khan | Tadeusz Burczy´nski
Advances in Intelligent Modelling and Simulation
Artificial Intelligence-Based Models and Techniques in Scalable Computing
E-Book
07/2012
Springer
€96.29
Available for download