Big Data, Cloud Computing and IoT - Rani, Sita; Bhambri, Pankaj; Kataria, Aman;(ed.) - Prospero Internet Bookshop
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Big Data, Cloud Computing and IoT: Tools and Applications
 
Product details:
ISBN13:9781032287430
ISBN10:1032287438
Binding:Paperback
No. of pages:258 pages
Size:254x178 mm
Weight:453 g
Language:English
Illustrations: 79 Illustrations, black & white; 79 Halftones, black & white; 20 Tables, black & white
700
Category:

Big Data, Cloud Computing and IoT

Tools and Applications
 
Edition number: 1
Publisher: Chapman and Hall
Date of Publication:
 
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Short description:

This book discusses Big Data, Cloud Computing, and IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, Big Data, Cloud Computing, and IoT are proposed as possible study avenues.

Long description:

Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, big data, cloud computing, and the IoT are proposed as possible study avenues.


Features:



  • Informs about cloud computing, IoT and big data, including theoretical foundations and the most recent empirical findings

  • Provides essential research on the relationship between various technologies and the aggregate influence they have on solving real-world problems

  • Ideal for academicians, developers, researchers, computer scientists, practitioners, information technology professionals, students, scholars, and engineers exploring research on the incorporation of technological innovations to address contemporary societal challenges
Table of Contents:

1. Integration of IoT, Big Data and Cloud Computing Technologies: Trend of the Era. 2. Cloud Environment Limitations and Challenges. 3. A Guide to Cloud Platform with an Investigation of Different Cloud Service Providers. 4. A Study on the Accuracy of IoT-Sensed Data Using Machine Learning. 5. Cloud-Based Remote Sensing: Developments and Challenges?Research Point of View. 6. Recent Trends in Machine Learning Techniques, Challenges and Opportunities. 7. Heart Disease Prediction Using Machine Learning and Big Data. 8. Analysis of Credit Card Fraud Data Using Various Machine Learning Methods. 9. Cloud Security Risk Management Quantifications. 10. Relevance of Multifactor Authentication for Secure Cloud Access. 11. LBMMS: Load Balancing with Max-Min of Summation in Cloud Computing. 12. Convergence Time Aware Network Comprehensive Switch Migration Algorithm Using Machine Learning for SDN Cloud Datacenter. 13. IoT Network Used in Fog and Cloud Computing. 14. Smart Waste Management System Using Convolutional Neural Network Model. 15. An IoT-Based Emotion Analysis and Music Therapy. 16. Complete Low-Cost IoT Framework for the Indian Agriculture Sector.