£122.43

Springer Cloud Computing for Geospatial Big Data Analytics

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Description

Explore the latest research in cloud, edge, fog, and mist computing through this specialized volume from Springer. This book focuses on how these computing paradigms apply to geospatial data, providing solutions to common big data challenges. As researchers in industry and academia work to solve complex problems in virtual environments, this text addresses specific issues like scheduling and security. While some cloud computing problems remain difficult to manage, the integration of fog, edge, and mist computing offers effective ways to handle these tasks. This publication is part of the Studies in Big Data series (Volume 49). It serves as a resource for understanding emerging advances in cloud technology and how distributed computing models can improve the processing and analysis of large-scale geospatial datasets.

Key Features

Covers research findings in cloud, edge, fog, and mist computing environments.

Focuses on practical applications of these technologies using geospatial data.

Addresses critical big data challenges including scheduling and security issues.

Provides insights into how fog and edge computing solve intractable cloud problems.

Part of the Studies in Big Data series, Volume 49, from Springer.

Product Specifications

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

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No barcode data available

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