TY  - Type of reference 
TI  - Improving resource elasticity in cloud computing thanks to model-free control 
AU  - Cédric Join 
AU  - Michel Fliess 
AU  - Maria Bekcheva 
AU  - Alireza Moradi 
AU  - Hugues Mounier 
AB  - In cloud computing management, the dynamic adaptation of computing resource allocations under timevarying workload is an active domain of investigation. Several control strategies were already proposed. Here the modelfree 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). 
DO  - 10.21494/ISTE.OP.2018.0296 
JF  - Control 
KW  -  model-free control,  scaling, Cloud computing,  computing resources allocation,  elasticity,  AWS,  commande sans modèle, Nuagique,  allocation des ressources de calcul,  ajustement,  élasticité,  AWS,  
L1  - https://openscience.fr/IMG/pdf/iste_auto18v2n1_5-2.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2018/10/1 
SN  - 2631-4924 
TT  - Meilleure élasticité « nuagique » par commande sans modèle 
UR  - https://openscience.fr/Improving-resource-elasticity-in-cloud-computing-thanks-to-model-free-control 
IS  - Issue 1 
VL  - 2 
ER  -