Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems

Bayesian Optimization (BO) is an efficient method for finding optimal cloud configurations for several types of applications. On the other hand, Machine Learning (ML) can provide helpful knowledge about the application at hand thanks to its predicting capabilities. This work proposes a general appro...

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Veröffentlicht in:	IEEE transactions on cloud computing Jg. 12; H. 1; S. 277 - 294
Hauptverfasser:	Guindani, Bruno, Ardagna, Danilo, Guglielmi, Alessandra, Rocco, Roberto, Palermo, Gianluca
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acquisition function Algorithms Bayes methods Bayesian analysis Bayesian optimization Black boxes black-box optimization Closed box Cloud computing Computational modeling Configurations Costs Edge computing Machine learning Optimization Software algorithms
ISSN:	2168-7161, 2372-0018
Online-Zugang:	Volltext
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