Cloud Computing for Geospatial Big Data Analytics Intelligent Edge, Fog and Mist Computing /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Das, Himansu (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Barik, Rabindra K. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Dubey, Harishchandra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Roy, Diptendu Sinha (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Studies in Big Data, 49
• Θέματα: Computational intelligence.; Artificial intelligence.; Geographical information systems.; Big data.; Computational Intelligence.; Artificial Intelligence.; Geographical Information Systems/Cartography.; Big Data.
• Φυσική περιγραφή: XII, 289 p. 93 illus., 73 illus. in color. online resource.
• ISBN: 9783030033590
• ISSN: 2197-6503 ;
• DOI: 10.1007/978-3-030-03359-0

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.