Download the fantastic book titled Cloud Computing for Geospatial Big Data Analytics written by Himansu Das, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Cloud Computing for Geospatial Big Data Analytics", which was released on 11 December 2018. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Cloud Computing for Geospatial Big Data Analytics by Himansu Das PDF
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.
Detail About Cloud Computing for Geospatial Big Data Analytics PDF
- Author : Himansu Das
- Publisher : Springer
- Genre : Technology & Engineering
- Total Pages : 289 pages
- ISBN : 3030033597
- Release Date : 11 December 2018
- PDF File Size : 44,9 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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