Abstract

Although the Internet of things (IoT), cloud computing (CC), and Big Data (BGD) are three different approaches that have evolved independently of each other over time; however, with time, they are becoming increasingly interconnected. The convergence of IoT, CC, and BGD provides new opportunities in various real-time applications, including telecommunication, healthcare, business, education, science, and engineering. Together, these approaches are facing various challenges during data gathering, processing, and management. The focus of this research paper is to pinpoint the emerging trends in IoT, CC, and BGD. The convergence of these approaches and their impact on various real-time applications, benefits, and challenges associated with all these approaches, current industry trends, and future research directions with especial focus on the healthcare domain. The paper also provides a conceptual framework that integrates IoT, CC, and BGD and provides an IoT centric cloud infrastructure using BGD. Finally, this paper summarizes by providing directions for researchers and practitioners about how to leverage the benefits of combining these approaches.

Highlights

  • Internet of things (IoT) is a network of web-enabled devices that collect data from the surrounding environment using sensors, process it, and send it over the network

  • This study provides a review on the convergence of IoT, cloud computing (CC) and big data (BGD) paradigm and proposed an M2M system that is based on decentralized cloud infrastructure for e-health applications

  • We have provided a detailed overview of emerging applications of IoT, CC, and BGD with a major focus on IoT share in CC and BGD

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Summary

INTRODUCTION

IoT is a network of web-enabled devices that collect data from the surrounding environment using sensors, process it, and send it over the network. Billions of diverse devices are interconnected these days and producing a large amount of versatile data (big data) These abundant interconnected devices aim to provide a smart and sustainable society and the overall economy These IoT devices are facing various challenges, and the most important of them is the limited computational and storage capabilities of IoT sensors that collect real-time data. IoT plays the role of data provider as IoT technologies collect a huge amount of data from various interconnected IoT devices, Cloud provides the storage and management for this data, and BGD involves the processing of this data for extracting useful information.

RELATED WORK
REAL-TIME APPLICATION ANALYSIS
Real-Time Application Analysis for Recent IoT Application
FINDINGS AND DISCUSSION
CONCLUSION
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