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
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
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 :
- https://www.techtarget.com/searchdatacenter/definition/edge-computing
- 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
- SC '21: Proceedings of the International Conference for High Performance Computing, Networking, Storage and AnalysisNovember 2021Article No.: 23Pages 1–12
- https://doi.org/10.1002/ett.3493
- 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.
- 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.
- Reidenbach, Bruce. Practical Digital Design: An Introduction to VHDL. Purdue University Press, 2022. https://doi.org/10.2307/j.ctv224v1b6.
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.