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Springer Cloud Computing for Geospatial Big Data Analytics Book

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Description

Explore the latest research in cloud, edge, fog, and mist computing through this Springer publication. This book addresses complex problems in big data and cloud computing, including scheduling and security issues, by utilizing advanced virtual environments. It focuses on how technologies like fog, edge, and mist computing provide solutions for geospatial data applications that are otherwise difficult to manage. This volume serves as a resource for researchers in both industry and academia looking to understand emerging advances in the field of geospatial big data analytics.

Key Features

This Springer book introduces research findings regarding cloud, edge, fog, and mist computing.

The text addresses specific big data challenges such as scheduling and security issues.

It explores the application of these computing technologies within various geospatial data fields.

The content provides solutions for intractable problems using fog, edge, and mist computing technologies.

This volume is part of the Studies in Big Data series, specifically number 49.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 January 2019
Listed Since
25 September 2018

Barcode

No barcode data available

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