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

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Das, Himansu (Editor), Barik, Rabindra K. (Editor), Dubey, Harishchandra (Editor), Roy, Diptendu Sinha (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Studies in Big Data, 49
Subjects:
Computational intelligence.
Artificial intelligence.
Geographic information systems.
Big data.
Computational Intelligence.
Artificial Intelligence.
Geographical Information System.
Big Data.
Online Access:Full-text access
Table of Contents:
  • 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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