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

Bibliografiske detaljer
Institution som forfatter:	SpringerLink (Online service)
Andre forfattere:	Das, Himansu (Editor), Barik, Rabindra K. (Editor), Dubey, Harishchandra (Editor), Roy, Diptendu Sinha (Editor)
Summary:	XII, 289 p. 93 illus., 73 illus. in color. text
Sprog:	engelsk
Udgivet:	Cham : Springer International Publishing : Imprint: Springer, 2019.
Udgivelse:	1st ed. 2019.
Serier:	Studies in Big Data, 49
Fag:	Computational intelligence. Artificial intelligence. Geographic information systems. Big data. Computational Intelligence. Artificial Intelligence. Geographical Information System. Big Data.
Online adgang:	https://doi.org/10.1007/978-3-030-03359-0
Format:	Electronisk Bog

Indholdsfortegnelse:

Big Data Scientific Workflows in the Cloud: Challenges and Future Prospects
Trust Model based Scheduling of Stochastic Workflows in Cloud and Fog Computing
Trust-Based Access control in Cloud Computing using Machine Learning
Cloud Security Ontology (CSO)
Cloud Based Supply Chain Networks – Principles and Practices
Parallel Computation of a MMDBM algorithm on GPU mining with Big data
Data Analytics of IoT Enabled Smart Energy Meter in Smart Cities
A New and Secure Intrusion Detecting system for Detection of Anomalies within the Big Data
Geospatial Big Data, Analytics and IoT: Challenges, Applications and Potential
Geocloud4GI: Cloud SDI Model for Geographical Indications Information Infrastructure Network
The Role of Geospatial Technology with IoT for Precision Agriculture.

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