Cloud Computing for Geospatial Big Data Analytics

Intelligent Edge, Fog and Mist Computing

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Science & Nature, Science, Earth Sciences, Geography, General Computing
Cover of the book Cloud Computing for Geospatial Big Data Analytics by , Springer International Publishing
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Author: ISBN: 9783030033590
Publisher: Springer International Publishing Publication: December 11, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783030033590
Publisher: Springer International Publishing
Publication: December 11, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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