Adaptive Feedforward and Feedback Control for Cloud Services

Sophie Cerf 1 Mihaly Berekmeri 2, 1 Bogdan Robu 1 Nicolas Marchand 1 Sara Bouchenak 3 Ioan Doré Landau 4
1 GIPSA-SYSCO - SYSCO
GIPSA-DA - Département Automatique
3 DRIM - Distribution, Recherche d'Information et Mobilité
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 GIPSA-SLR - SLR
GIPSA-DA - Département Automatique
Abstract : The use of cloud services is becoming increasingly common. As the cost of these services is continuously decreasing, service performance is becoming a key differentiator between providers. Solutions that aim to guarantee Service Level Objectives (SLO) in term of performance by controlling cluster size are already used by cloud providers. However most of these control solutions are based on static if-then rules, they are therefore inefficient in handling the highly varying service dynamics of cloud environments. Client concurrency, network bottlenecks or non homogeneity of resources are just a few of the many causes that make the behavior of cloud services highly non linear and time varying. In this paper a novel control theoretical approach is presented that is robust to these phenomena. It consists of PI and feedforward controller adapted online. A stability analysis of the adaptive control configuration is provided. Simulations using a cloud service model taken from the literature illustrate the performance of the system under various conditions. The use of adaptation significantly improves control efficiency and robustness with respect to variations in the dynamic of the plant.
Type de document :
Communication dans un congrès
20th IFAC World Congress, Jul 2017, Toulouse, France. IFAC-PapersOnLine, 50 (1), pp.5504 - 5509, 2017, 20th IFAC World Congress. 〈10.1016/j.ifacol.2017.08.1090〉
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Contributeur : Sophie Cerf <>
Soumis le : lundi 8 janvier 2018 - 15:42:35
Dernière modification le : lundi 30 avril 2018 - 15:02:01

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Sophie Cerf, Mihaly Berekmeri, Bogdan Robu, Nicolas Marchand, Sara Bouchenak, et al.. Adaptive Feedforward and Feedback Control for Cloud Services. 20th IFAC World Congress, Jul 2017, Toulouse, France. IFAC-PapersOnLine, 50 (1), pp.5504 - 5509, 2017, 20th IFAC World Congress. 〈10.1016/j.ifacol.2017.08.1090〉. 〈hal-01397666v2〉

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