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

Manylion Llyfryddiaeth
Awdur Corfforaethol: SpringerLink (Online service)
Awduron Eraill: Das, Himansu (Golygydd), Barik, Rabindra K. (Golygydd), Dubey, Harishchandra (Golygydd), Roy, Diptendu Sinha (Golygydd)
Crynodeb:XII, 289 p. 93 illus., 73 illus. in color.
text
Iaith:Saesneg
Cyhoeddwyd: Cham : Springer International Publishing : Imprint: Springer, 2019.
Rhifyn:1st ed. 2019.
Cyfres:Studies in Big Data, 49
Pynciau:
Mynediad Ar-lein:https://doi.org/10.1007/978-3-030-03359-0
Fformat: Electronig eLyfr
Tabl Cynhwysion:
  • 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.