Data collecting, caching, analysis, and processing in close proximity to where the data is collected is referred
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architectures of edge intelligence (Data Placement-Based Architectures to Reduce Latency; 2) Orchestration-Based ECAs-
IoT. 3) Big Data Analysis-Based Architectures; and 4) Security-Based Architectures) as well as the challenges and
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Acknowledgements
Author(s) thanks to Dr. Lars Vlrtanen for this research validation and verification support.
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Heikku Siltanen
Heikku Siltanen
Department of Computer Science, University of Helsinki, Yliopistonkatu 4, 00100 Helsinki, Finland.
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Cite this article
Heikku Siltanen and Lars Vlrtanen, “Assessment of Innovative Architectures, Challenges and Solutions of Edge Intelligence”, Journal of Machine and Computing, vol.2, no.4, pp. 157-167, October 2022. doi: 10.53759/7669/jmc202202020.
