It is indeed possible to bring analysis and information storage closer to where the information is generated by
implementing an edge computing model. Response times should improve while bandwidth use is reduced as a result." A common
misconception is that "edge" and "IoT" are synonymous. Using edge computing in the Internet of Things (IoT) is an example of this
type of distributed computing, which is sensitive to configuration and location." Instead, then alluding to a specific piece of
technology, the word refers to an overall architecture. In order to discover novel study opportunities and aid users in selecting more
suitable edge computing advancements, this paper provides an analysis of existing open-source computing projects. Also, a
comparison of the project’s applicability will be defined.
Keywords
Edge Computing, Internet of Things, Machine Learning, Artificial Intelligence.
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Acknowledgements
The authors would like to thank to the reviewers for nice comments on the manuscript.
Funding
No funding was received to assist with the preparation of this manuscript.
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Corresponding author
Gregory Wang
Gregory Wang
School of Engineering, University of Southern California, USA.
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Cite this article
Gregory Wang and David Steeg, “Open Source Network Optimization Tools for Edge Intelligence", vol.2, no.2, pp. 055-065, April 2022. doi: 10.53759/181X/JCNS202202009.
