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Improving resource elasticity in cloud computing thanks to model-free control

Authors :
Bekcheva, Maria
Fliess, Michel
Join, Cédric
Moradi, Alireza
Mounier, Hugues
Source :
ISTE OpenScience Automatique/Control, vol. 2, 2018
Publication Year :
2018

Abstract

In cloud computing management, the dynamic adaptation of computing resource allocations under time-varying workload is an active domain of investigation. Several control strategies were already proposed. Here the model-free control setting and the corresponding "intelligent" controllers, which are most successful in many concrete engineering situations, are employed for the "horizontal elasticity." When compared to the commercial "Auto-Scaling" algorithms, our easily implementable approach, behaves better even with sharp workload fluctuations. This is confirmed by experiments on Amazon Web Services (AWS).<br />Comment: in French

Details

Language :
French
Database :
arXiv
Journal :
ISTE OpenScience Automatique/Control, vol. 2, 2018
Publication Type :
Report
Accession number :
edsarx.1810.03702
Document Type :
Working Paper