José Luis Conradi Hoffmann;Antônio Augusto Fröhlich

Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Dataset is a Dataset composed of Hardware Performance Counters extracted from a Multicore Real-Time Embedded System. This Dataset encompasses every Monitorable Performance counters in a Cortex-A53 quad-core processor, totaling 54 performance counters, which are sampled periodically through a non-Intrusive Monitoring Framework implemented over Embedded Parallel Operating System (EPOS), a Real-Time Operating System.

DOI Link: 
10.21227/32v4-s430
Links or DOI: 
EPOS Experimental Reproducibility
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[1] José Luis Conradi Hoffmann, Antônio Augusto Fröhlich, "Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/32v4-s430. Accessed: Dec. 21, 2024.
@data{32v4-s430-21,
doi = {10.21227/32v4-s430},
url = {http://dx.doi.org/10.21227/32v4-s430},
author = {José Luis Conradi Hoffmann; Antônio Augusto Fröhlich },
publisher = {IEEE Dataport},
title = {Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database},
year = {2021} }
TY - DATA
T1 - Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database
AU - José Luis Conradi Hoffmann; Antônio Augusto Fröhlich
PY - 2021
PB - IEEE Dataport
UR - 10.21227/32v4-s430
ER -
José Luis Conradi Hoffmann, Antônio Augusto Fröhlich. (2021). Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database. IEEE Dataport. http://dx.doi.org/10.21227/32v4-s430
José Luis Conradi Hoffmann, Antônio Augusto Fröhlich, 2021. Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database. Available at: http://dx.doi.org/10.21227/32v4-s430.
José Luis Conradi Hoffmann, Antônio Augusto Fröhlich. (2021). "Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database." Web.
1. José Luis Conradi Hoffmann, Antônio Augusto Fröhlich. Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/32v4-s430
José Luis Conradi Hoffmann, Antônio Augusto Fröhlich. "Online Machine Learning for Energy-Aware Multicore Real-Time Embedded Systems Database." doi: 10.21227/32v4-s430