Cloud Computing for Geospatial Big Data Analytics

Download or Read eBook Cloud Computing for Geospatial Big Data Analytics PDF written by Himansu Das and published by Springer. This book was released on 2018-12-11 with total page 294 pages. Available in PDF, EPUB and Kindle.
Cloud Computing for Geospatial Big Data Analytics
Author :
Publisher : Springer
Total Pages : 294
Release :
ISBN-10 : 9783030033590
ISBN-13 : 3030033597
Rating : 4/5 (90 Downloads)

Book Synopsis Cloud Computing for Geospatial Big Data Analytics by : Himansu Das

Book excerpt: 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.


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