Cloud Computing for Geospatial Big Data Analytics Intelligent Edge,
This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues u
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Himansu Das Rabindra K. Barik Harishchandra Dubey Diptendu Sinha Roy Editors
Cloud Computing for Geospatial Big Data Analytics Intelligent Edge, Fog and Mist Computing
Studies in Big Data Volume 49
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
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 others. The series contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence including 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
Himansu Das Rabindra K. Barik Harishchandra Dubey Diptendu Sinha Roy •
•
Editors
Cloud Computing for Geospatial Big Data Analytics Intelligent Edge, Fog and Mist Computing
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Editors Himansu Das School of Computer Engineering Kalinga Institute of Industrial Technology (KIIT) Bhubaneswar, Odisha, India Rabindra K. Barik School of Computer Application Kalinga Institute of Industrial Technology (KIIT) Bhubaneswar, Odisha, India
Harishchandra Dubey Center for Robust Speech Systems University of Texas at Dallas Richardson, TX, USA Diptendu Sinha Roy Department of Computer Science and Engineering National Institute of Technology, Meghalaya Shillong, Meghalaya, India
ISSN 2197-6503 ISSN 2197-6511 (electronic) Studies in Big Data ISBN 978-3-030-03358-3 ISBN 978-3-030-03359-0 (eBook) https://doi.org/10.1007/978-3-030-03359-0 Library of Congress Control Number: 2018960234 © Springer Nature Switzerland AG 2019 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, e
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