1st Edition

Cloud and Fog Computing Platforms for Internet of Things

Edited By Pankaj Bhambri, Sita Rani, Gaurav Gupta, Alex Khang Copyright 2022
    210 Pages 67 B/W Illustrations
    by Chapman & Hall

    210 Pages 67 B/W Illustrations
    by Chapman & Hall

    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.



    • 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

    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


    Pankaj Bhambri, Alex Khang