Machine Learning Based Resource Utilization Prediction in the Computing Continuum
Christian Bauer,
Narges Mehran,
Radu Prodan
et al.
Abstract:This paper presents UtilML, a novel approach for tackling resource utilization prediction challenges in the computing continuum. UtilML leverages Long-Short-Term Memory (LSTM) neural networks, a machine learning technique, to forecast resource utilization accurately. The effectiveness of UtilML is demonstrated through its evaluation of data extracted from a real GPU cluster in a computing continuum infrastructure comprising more than 1800 computing devices. To assess the performance of UtilML, we compared it w… Show more
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