Role of Emerging IoT Big Data and Cloud Computing for Real Time Application

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.

Autonomous Traffic System for Emergency Vehicles

“…IoT devices attached/embedded in EVs generate a huge amount of real-time data, the cloud is used for the storage of this data [30,31] that can be further used for decision making. The EVMS uses the public cloud for storing EV information, road traffic, and other related data.…”

Industrial Revolution 5.0 and the Role of Cutting Edge Technologies

“…CC is a concept that allows for the instantaneous leasing of computer resources with little or no communication with the provider. Cloud simplifies operations in this sense since it eliminates the need for rigorous resource dimensioning and planning, allowing for flexible usage without the user's previous commitment [47,48]. Cloud users benefit from almost all the resources they need, and they may either utilize or supply everything as a service.…”

“…It also makes managing and developing computation, storage, and networking services easier between data centers and end devices. It's also a strong tool for processing BGD generated through IoT sensors, allowing IR 5.0 to realize its full potential [20,47,49]. Due to these potential benefits, the cloud market has grown at a tremendous pace as shown in Fig.…”

Smart schools on the way: How school principals from Catalonia approach the future of education within the fourth industrial revolution

“…It can be in the form of smart digital boards, interactive learning, mobile devices and tablets, educational apps, electronic books that introduce the best way to learn, wireless locks on doors, advanced security measures, temperature sensors, attendance tracking systems, and others (Abdel-Basset et al, 2019). Cloud computing is not limited to cloud storage, but it also facilitates processing and presenting big data collected by IoT or any other process of e-learning in a sort of online data centre with the benefits of global access and scalability (Humayun, 2020). Artificial intelligence, IoT, and cloud computing are solutions fed by big data gathered using different types of sensors ranging from learning management systems tracks to contactless technologies and specific sensors to control environmental factors, eye-tracking systems (Sun & Hsu, 2019), or wearables to provide teachers with students' physical data in real time (Liang et al, 2020).…”