Significances of IoT-associated Big Data and Distributed Computing in Real-time Scenarios

Authors

  • *Dr. Rajeev Kumar, Dr. Bhupendra Kumar, Dr. Prashant Gaurav & Ujjal Aloke Sarkar

Keywords:

Distributed Computing, IoT, Big-Data, Real-Time Scenario, Medical Services

Abstract

As the Internet of Things (IoT), distributed computing (DC), and big data are three separate techniques that have evolved independently of one another over time, they are gradually becoming more integrated over time. Combining IoT, DC, and BDA (Big Data Application) opens up new opportunities in a variety of ongoing applications, including media transmission, healthcare, business, education, research, and design. Together, these techniques are dealing with many issues related to information social events, handling, and executives. This investigation paper's main goal is to identify emerging trends in IoT, DC, and BDA. The blending of these techniques and their impact on various continuous applications, benefits, and challenges associated with this vast array of approaches, industry ebb and flow patterns, and future investigation directions with a focus on the medical services sector. Additionally, the article provides a calculated framework that combines IoT, DC, and BDA as well as an IoT-driven distributed computing based on BDA. Finally, this article wraps up by providing guidance to experts and professionals on in what way to use the assistances of compounding these methods.

Published

2022-11-02

How to Cite

*Dr. Rajeev Kumar, Dr. Bhupendra Kumar, Dr. Prashant Gaurav & Ujjal Aloke Sarkar. (2022). Significances of IoT-associated Big Data and Distributed Computing in Real-time Scenarios. Computer Integrated Manufacturing Systems, 28(10), 876–904. Retrieved from http://cims-journal.com/index.php/CN/article/view/164

Issue

Section

Articles