Edge Computing for Real-Time Inference in Internet of Things Environments: Challenges and Solutions

Authors

  • Mawahib Sharafeldin Adam Boush Assistant Professor, Department of Computer Science and Information Technology, Jazan University, Saudi Arabia.
  • Rawia Ahmed Mohammed Ebrahim Lecturer, Applied College, Jazan University, Saudi Arabia.
  • Ragia Elsayed Eisawy Hussein Lecturer, Computer Science and Information Technology Department, Jazan University, Saudi Arabia.
  • Samar Mansour Hassen Computer Science and Information Technology Department, Jazan University, Saudi Arabia.

DOI:

https://doi.org/10.17762/jaz.v44iS-3.1203

Keywords:

IoT, Edge Computing, Real-Time Inference Model, Latency, Bandwidth, Scarcity, Cloud System

Abstract

The role that the real-time inference model plays in the Internet of Things environment and the applications that correspond to it are demonstrated by this project. In order to provide an all-encompassing picture of networking technologies, the section on the literature review has provided a description of the research that came before this project as well as an evaluation of its overall quality. In this section, the methodology component of the evolution of computing techniques in the environment of IOT is also examined. As a result, the technique of edge computing is utilised to produce many answers to the difficulties presented by the Internet of Things environment. In this section, the thematic analysis is carried out by making use of real-time applications and examples that are connected to networking applications. Last but not least, the project session comes to a close with the inclusion of research recommendations for the development of IOT and further work in this research.

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Published

2023-10-27

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