Predictive Analytics in Cloud, Fog, and Edge Computing

Predictive Analytics in Cloud, Fog, and Edge Computing portes grátis

Predictive Analytics in Cloud, Fog, and Edge Computing

Perspectives and Practices of Blockchain, IoT, and 5G

Veeravalli, Bharadwaj; Dehury, Chinmaya Kumar; Sahoo, Prasan Kumar; Thakkar, Hiren Kumar

Springer International Publishing AG

12/2022

248

Dura

Inglês

9783031180330

15 a 20 dias

559

Descrição não disponível.
Chapter. 1. Collaboration of IoT and Cloud Computing towards Healthcare Security.- Chapter. 2. Robust, Reversible Medical Image Watermarking for Transmission of Medical Images over Cloud in Smart IoT Healthcare.- Chapter. 3.The Role of Blockchain in Cloud Computing.- Chapter. 4. Analysis and Prediction of Plant Growth in a Cloud-based Smart Sensor Controlled Environment.- Chapter. 5. Cloud-based IoT controlled System Model for Plant Disease Monitoring.- Chapter. 6.- Design and Usage of a Digital E- Pharmacy Application Framework.- Chapter. 7. Serverless Data Pipelines for IoT data analytics: A cloud vendors perspective and solutions.- Chapter. 8. Integration of Predictive Analytics and Cloud Computing for Mental Health Prediction.- Chapter. 9. Impact of 5G technologies on cloud analytics.- Chapter. 10. IoT based ECG-SCG Big Data Analysis Framework for Continuous Cardiac Health Monitoring in Cloud Data Centers.-Chapter. 11. A Workload-aware Data Placement Scheme for Hadoop-enabled MapReduce Cloud Data Center.- Chapter. 12. 5G Enabled Smart City using Cloud Environment.
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Machine Learning;Edge Computing;Fog Computing;Serverless Computing;Live VM Migration;Reinforcement Learning;Deep Learning;Data Placement;Data Migration;Data Pipeline;Resource Management;Green computing;Ubiquitous computing