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.
| ISBN: | 9783030033583 |
| Publication date: | 31st January 2019 |
| Author: | Himansu Das, Rabindra K Barik, Harishchandra Dubey, Diptendu Sinha Roy |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 289 pages |
| Series: | Studies in Big Data |
| Genres: |
Artificial intelligence Geographical information systems, geodata and remote sensing Databases |
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.
Cloud Computing for Geospatial Big Data Analytics features in the following genres: Artificial intelligence, Geographical information systems, geodata and remote sensing, Databases
Hardback. Not Available.
Cloud Computing for Geospatial Big Data Analytics was written by Himansu Das, Rabindra K Barik, Harishchandra Dubey, Diptendu Sinha Roy and published by Springer an imprint of Springer International Publishing
Cloud Computing for Geospatial Big Data Analytics has 289 pages
Yes it is part of Studies in Big Data series