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

Bibliografski detalji
Autor kompanije: SpringerLink (Online service)
Daljnji autori: Das, Himansu (Urednik), Barik, Rabindra K. (Urednik), Dubey, Harishchandra (Urednik), Roy, Diptendu Sinha (Urednik)
Sažetak:XII, 289 p. 93 illus., 73 illus. in color.
text
Jezik:engleski
Izdano: Cham : Springer International Publishing : Imprint: Springer, 2019.
Izdanje:1st ed. 2019.
Serija:Studies in Big Data, 49
Teme:
Online pristup:https://doi.org/10.1007/978-3-030-03359-0
Format: Elektronički Knjiga
Sadržaj:
  • 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.