Edge Computing for Data-Intensive IoT Applications: Challenges, Solutions, and Future Directions

Abstract

The current standard of cloud-based computing paradigms is greatly threatened by a substantially larger amount of data as more IoT (Internet of Things) devices continue to develop at tremendous rates. This paper therefore seeks to answer the following question; how does the edge meet the specific requirements demanded by these data-hungry application in the Internet of Things. First, we have a view at problems which came to be seen in IoT systems at the present: delay, low bandwidth, and secure information transmission. The article proceeds on to explaining how the existing new edge computing architectures where the compute and data storage occur closer to the source of data generation can reduce such problems. In this paper based on several examples of the existing IoT applications and the analysis of numerous case and the latest developments are demonstrating how edge computing can bring a revolutionary change to the specified industries along with the Internet of Things in general. Last, the directions for the future work and the overview of how edge computing is influencing the development of the IOT environment are given.