Techniques and Environments for Big Data Analysis Parallel, Cloud, a
This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapt
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Bhabani Shankar Prasad Mishra Satchidananda Dehuri Euiwhan Kim Gi-Name Wang Editors
Techniques and Environments for Big Data Analysis Parallel, Cloud, and Grid Computing
Studies in Big Data Volume 17
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
About this Series The series “Studies in Big Data” (SBD) publishes new developments and advances in the various areas of Big Data- quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data, as embedded in the fields of engineering, computer science, physics, economics and life sciences. The books of the series refer to the analysis and understanding of large, complex, and/or distributed data sets generated from recent digital sources coming from sensors or other physical instruments as well as simulations, crowd sourcing, social networks or other internet transactions, such as emails or video click streams and other. The series contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence incl. neural networks, evolutionary computation, soft computing, fuzzy systems, as well as artificial intelligence, data mining, modern statistics and Operations research, as well as self-organizing systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.
More information about this series at http://www.springer.com/series/11970
Bhabani Shankar Prasad Mishra Satchidananda Dehuri Euiwhan Kim Gi-Name Wang •
Editors
Techniques and Environments for Big Data Analysis Parallel, Cloud, and Grid Computing
123
Editors Bhabani Shankar Prasad Mishra School of Computer Engineering KIIT University Bhubaneswar, Odisha India
Euiwhan Kim Department of Systems Engineering Ajou University Suwon South Korea Gi-Name Wang Department of Industrial Engineering Ajou University Suwon South Korea
Satchidananda Dehuri Department of Information and Communication Technology Fakir Mohan University Balasore, Odisha India
ISSN 2197-6503 Studies in Big Data ISBN 978-3-319-27518-5 DOI 10.1007/978-3-319-27520-8
ISSN 2197-6511
(electronic)
ISBN 978-3-319-27520-8
(eBook)
Library of Congress Control Number: 2015958330 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement,
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