English

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

Distributed, Parallel, and Cluster Computing 2018-10-10 v1 Systems and Control 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).

Keywords

Cite

@article{arxiv.1810.03702,
  title  = {Improving resource elasticity in cloud computing thanks to model-free control},
  author = {Maria Bekcheva and Michel Fliess and Cédric Join and Alireza Moradi and Hugues Mounier},
  journal= {arXiv preprint arXiv:1810.03702},
  year   = {2018}
}

Comments

in French

R2 v1 2026-06-23T04:32:44.888Z