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ZENODO
Conference object . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2024
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2024
License: CC BY
Data sources: Datacite
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Real-time Machine Learning-based IoT Data Analysis in the Edge Cloud Continuum using AC3

descriptionPublicationkeyboard_double_arrow_right Conference object 23 Nov 2024 English Publisher:Zenodo
Authors: Ojeda Coronado, Jhofre Eduardo; Amaxilatis, Dimitrios; Tsironis, Nikolaos; Sarantakos, Themistoklis; Fonseca, João Pedro; Adhane, Gereziher; Famitafreshi, Golshan; +6 Authors

doi: 10.5281/zenodo.14650547 , 10.5281/zenodo.14650548

Real-time Machine Learning-based IoT Data Analysis in the Edge Cloud Continuum using AC3

Abstract

The demo highlights how IoT data from Sensirionsensors and Raspberry Pis are processed using the Agile and CognitiveCloud-edge Continuum Management (AC3) framework.This approach optimizes data processing locations dynamically,balancing edge response and cloud computational power, enhancingreal-time building management and smart city applications.

Related Organizations
Keywords

cloud edge computing continuum, Internet of things, machine learning, data management, microservices

  • BIP!
    Impact byBIP!
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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green