Overview
- Covers the state-of-art of theories and applications in cloud computing in several diversified fields
- Presents the latest research findings in cloud computing, geospatial data, and big data analytics to help identify future challenges
- Focuses on the recent trends and challenges in employing cloud computing for geospatial big data analytics in intelligent edge, fog, and mist computing
Part of the book series: Studies in Big Data (SBD, volume 49)
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Table of contents (13 chapters)
Keywords
About this book
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 using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.
Editors and Affiliations
Bibliographic Information
Book Title: Cloud Computing for Geospatial Big Data Analytics
Book Subtitle: Intelligent Edge, Fog and Mist Computing
Editors: Himansu Das, Rabindra K. Barik, Harishchandra Dubey, Diptendu Sinha Roy
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-030-03359-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-03358-3Published: 31 January 2019
eBook ISBN: 978-3-030-03359-0Published: 11 December 2018
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XII, 289
Number of Illustrations: 20 b/w illustrations, 73 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Geographical Information Systems/Cartography, Big Data