rmftool - A library to Compute (Refined) Mean Field Approximation(s) - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

rmftool - A library to Compute (Refined) Mean Field Approximation(s)

Résumé

Mean field approximation is a powerful technique to study the performance of large stochastic systems represented as systems of interacting objects. Applications include load balancing models, epidemic spreading, cache replacement policies, or large-scale data centers, for which mean field approximation gives very accurate estimates of the transient or steady-state behaviors. In a series of recent papers [9, 7], a new and more accurate approximation, called the refined mean field approximation is presented. Yet, computing this new approximation can be cumbersome. The purpose of this paper is to present a tool, called rmf tool, that takes the description of a mean field model, and can numerically compute its mean field approximations and refinement.
Fichier principal
Vignette du fichier
tool_paper.pdf (310.57 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03485044 , version 1 (17-12-2021)

Identifiants

  • HAL Id : hal-03485044 , version 1

Citer

Sebastian Allmeier, Nicolas Gast. rmftool - A library to Compute (Refined) Mean Field Approximation(s). TOSME 2021, Nov 2021, Online conference, France. ⟨hal-03485044⟩
145 Consultations
114 Téléchargements

Partager

Gmail Facebook X LinkedIn More