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Smart city article details

Title	Real-Time Machine Learning-Based Iot Data Analysis In The Edge Cloud Continuum Using Ac3
ID_Doc	44395
Authors	Ojeda J.; Amaxilatis D.; Tsironis N.; Sarantakos T.; Fonseca J.; Adhane G.; Famitafreshi G.; Roy S.; Chari S.K.; Ghafouri N.; Ramantas K.; Verikoukis C.
Year	2024
Published	IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
DOI	http://dx.doi.org/10.1109/CAMAD62243.2024.10942957
Abstract	The demo highlights how IoT data from Sensirion sensors and Raspberry Pis are processed using the Agile and Cognitive Cloud-edge Continuum Management (AC3) framework. This approach optimizes data processing locations dynamically, balancing edge response and cloud computational power, enhancing real-time building management and smart city applications. © 2024 IEEE.
Author Keywords	cloud edge computing continuum; data management; Internet of things; machine learning; microservices

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