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Cloud Computing for Geospatial Big Data Analytics

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Cloud Computing for Geospatial Big Data Analytics Synopsis

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.

About This Edition

ISBN: 9783030033583
Publication date: 31st January 2019
Author: Himansu Das, Rabindra K Barik, Harishchandra Dubey, Diptendu Sinha Roy
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 289 pages
Series: Studies in Big Data
Genres: Artificial intelligence
Geographical information systems and remote sensing
Databases