Cloud and Fog Computing Platforms for Internet of Things

Cloud and Fog Computing Platforms for Internet of Things

Cloud and Fog Computing Platforms for Internet of Things

Cloud and Fog Computing Platforms for Internet of Things

eBook

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Overview

Today, relevant data are typically delivered to cloud-based servers for storing and analysis in order to extract key features and enable enhanced applications beyond the basic transmission of raw data and to realize the possibilities associated with the impending Internet of Things (IoT). To allow for quicker, more efficient, and expanded privacy-preserving services, a new trend called Fog Computing has emerged: moving these responsibilities to the network's edge.

 

Traditional centralized cloud computing paradigms confront new problems posed by IoT application growth, including high latency, limited storage, and outages due to a lack of available resources. Fog Computing puts the cloud and IoT devices closer together to address these issues. Instead of sending IoT data to the cloud, the fog processes and stores it locally at IoT devices. Unlike the cloud, fog-based services have a faster reaction time and better quality overall.

 

Fog Computing, Cloud Computing, and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications. Fog Computing, Cloud Computing, and Internet of Things are being suggested as potential research directions.

 

Features:

  • A systematic overview of the state-of-the-art in Cloud Computing, Fog Computing, and Internet of Things
  • Recent research results and some pointers to future advancements in architectures and methodologies
  • Detailed examples from clinical studies using several different data sets

Product Details

ISBN-13: 9781000593945
Publisher: CRC Press
Publication date: 06/07/2022
Series: Chapman & Hall/CRC Cloud Computing for Society 5.0
Sold by: Barnes & Noble
Format: eBook
Pages: 198
File size: 22 MB
Note: This product may take a few minutes to download.

About the Author

Pankaj Bhambri, Alex Khang

Table of Contents

1. Resource Allocation Techniques in Cloud Computing

Krishna Sowjanya K. and S. K. Mouleeswaran

2. Transforming Healthcare through Internet of Things

Dhanabalan Thangam, Anil B. Malali, Gopalakrishnan Subramanian, and Jin Yong Park

3. IoT Motivated Cyber-Physical and Industrial Internet Systems

Saurabh Kumar and Nainsi Soni

4. Internet of Things in E-commerce: A Thematic Analysis

Prateek Kalia

5. Data Security and Privacy in Fog Computing Applications

Nazeer Haider and Chandrashekhar Azad

6. Energy-Efficient Cloud and Fog Computing in Internet of Things: Techniques and Challenges

Avita Katal and Vitesh Sethi

7. Deployment of Distributed Clustering Approach in WSNs and IoTs

Rachna, Yogesh Chhabra, and Pankaj Bhambri

8. Long Range IoT for Agricultural Acquisition through Cloud Computing

Kalpana Murugan and Jenitha. R

9. Resource Allocation with Task Scheduling in Cloud Computing

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

10. Service Availability of Virtual Machines in Cloud Computing

Opeyemi Osanaiye and Steve Adeshina

11. Analysis of Security Challenges and Threats in Social Network and Cloud Computing

Bindu Madavi K. P., P. Vijayakarthik

12. Secured Trusted Authentication With Trust Based Congestion Scheme for V2V Communication

Jithendra H.N. and Rekha D.

13. MQTT Protocol-based Wide Range Smart Motor Control for Unmanned Electric Vehicular Application: A Case Study in IoT

Arunava Chatterjee and Biswarup Ganguly

14. IoT-based Water Quality Monitoring System using Cloud for Agriculture Use

Dhanalakshmi R., Jose Anand, Arun Kumar Sivaraman, and Sita Rani

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