Big Data, Cloud Computing and IoT : Tools and Applications

著者名：Rani, Sita (EDT)/Bhambri, Pankaj (EDT)/Kataria, Aman (EDT)/Khang, Alex (EDT)/Sivaraman, Arun Kumar (EDT)

Chapman and Hall/CRC（2023/04/19発売）

• 言語：ENG
• ISBN：9781032284200
• eISBN：9781000862379

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

Sita Rani, Pankaj Bhambri and Aman Kataria

2. Cloud Environment Limitations and Challenges

Sudheer Mangalampalli and Ganesh Reddy Karri

3. A Guide to Cloud Platform with an Investigation of Different Cloud Service Providers

Parul Dubey, Pushkar Dubey, and Kailash Kumar Sahu

4. A Study on the Accuracy of IoT-Sensed Data Using Machine Learning

K. P. Maheswari, N. Anuradha and S. Nirmala Devi

5. Cloud-Based Remote Sensing: Developments and Challenges–Research Point of View

G.Boopathi Raja

6. Recent Trends in Machine Learning Techniques, Challenges and Opportunities

S.Kannadhasanm, Kanagaraj Venusamy and R.Nagarajan

7. Heart Disease Prediction Using Machine Learning and Big Data

Vandana Rawat, Devesh Pratap Singh, Neelam Singh, and Shruti Negi

8. Analysis of Credit Card Fraud Data Using Various Machine Learning Methods

C. Chethana and Piyush Kumar Pareek

9. Cloud Security Risk Management Quantifications

Gurwinder Singh, Munish Rattan and Gurjot Kaur Walia

10. Relevance of Multifactor Authentication for Secure Cloud Access

Charanjeet Singh and Ramandeep Kaur

11. LBMMS: Load Balancing with Max-Min of Summation in Cloud Computing

Ranjan Kumar Mondal, Payel Ray, Enakshmi Nandi, and Debabrata Sarddar

12. Convergence Time Aware Network Comprehensive Switch Migration Algorithm Using Machine Learning for SDN Cloud Datacenter

S.R. Deepu, B.S. Shylaja and R. Bhaskar

13. IoT Network Used in Fog and Cloud Computing

Bhavesh Borisaniya and Saurabh Kumar

14. Smart Waste Management System Using Convolutional Neural Network Model

Neelam Sharma, Surbhi Gupta, Shefali Kanwar, and Vanieka

15. An IoT-Based Emotion Analysis and Music Therapy

Keerthik Dhivya Rajakumar, Jagannath Mohan and Adalarasu Kanagasabai

16. Complete Low-Cost IoT Framework for the Indian Agriculture Sector

          Ashish Verma and Rajesh Bodade