1. Meilleure élasticité << nuagique >> par commande sans modèle
- Author
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Bekcheva, Maria, Fliess, Michel, Join, C��dric, Moradi, Alireza, Mounier, Hugues, Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'informatique de l'École polytechnique [Palaiseau] (LIX), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X), ALgèbre pour Identification & Estimation Numériques (AL.I.E.N.), Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), and Inagral
- Subjects
FOS: Computer and information sciences ,computing resources allocation ,scaling ,cloud computing ,[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH] ,Systems and Control (eess.SY) ,model-free control ,AWS ,Computer Science - Distributed, Parallel, and Cluster Computing ,Optimization and Control (math.OC) ,[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering ,FOS: Electrical engineering, electronic engineering, information engineering ,FOS: Mathematics ,[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY] ,Computer Science - Systems and Control ,elasticity ,[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET] ,Distributed, Parallel, and Cluster Computing (cs.DC) ,[INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS] ,[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] ,[INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC] ,Mathematics - Optimization and Control - 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)., in French
- Published
- 2018