Authors : Umang H Patel

Volume/Issue : Volume 9 - 2024, Issue 5 - May

Google Scholar : https://tinyurl.com/4b5vwz84

Scribd : https://tinyurl.com/46x8uyvu

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAY791

Abstract : An age of technological revolution has begun as a result of the Internet of Things (IoT) explosive growth, in which billions of gadgets gather and exchange data over several networks. The conventional cloud- centric approach of data processing faces substantial hurdles as Internet of Things (IoT) devices become more sophisticated and data-intensive. These challenges include high latency, bandwidth limits, and privacy concerns. By decentralizing data processing and moving it closer to the data source—the network's edge—edge computing emerges as a crucial solution. This study examines how edge computing is revolutionizing the Internet of Things by examining three of its main benefits: lower latency, better data security, and increased bandwidth economy. Edge computing expedites response times, strengthens data security, and maximizes network use by processing data locally. The fundamentals of edge computing, implementation difficulties, and prospective advancements that might further integrate edge computing with sophisticated IoT systems are all covered in the talk. In addition to changing IoT environments, this investigation seeks to demonstrate how edge computing is essential to real- time, safe, and effective data processing in an increasingly interconnected world.

Keywords : IOT (Internet of Things), Edge Computing, Data, Data Security.

References :

1. https://www.techtarget.com/searchdatacenter/definition/edge-computing
2. Mohammad S. Aslanpour, Sukhpal Singh Gill, Adel N. Toosi,Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research, Internet of Things, Volume 12,2020, 100273,ISSN 2542-6605
3. SC '21: Proceedings of the International Conference for High Performance Computing, Networking, Storage and AnalysisNovember 2021Article No.: 23Pages 1–12
4. https://doi.org/10.1002/ett.3493
5. C. Avasalcai, C. Tsigkanos and S. Dustdar, "Decentralized Resource Auctioning for Latency-Sensitive Edge Computing," 2019 IEEE International Conference on Edge Computing (EDGE), Milan, Italy, 2019, pp. 72-76, doi: 10.1109/EDGE.2019.00027.
6. M. O. Ozcan, F. Odaci and I. Ari, "Remote Debugging for Containerized Applications in Edge Computing Environments," 2019 IEEE International Conference on Edge Computing (EDGE), Milan, Italy, 2019, pp. 30-32, doi: 10.1109/EDGE.2019.00021.
7. Reidenbach, Bruce. Practical Digital Design: An Introduction to VHDL. Purdue University Press, 2022. https://doi.org/10.2307/j.ctv224v1b6.