M. Benaïm and J. Boudec, A class of mean field interaction models for computer and communication systems, Perform. Eval, vol.65, pp.823-838, 2008.

L. Bortolussi, J. Hillston, D. Latella, and M. Massink, Continuous approximation of collective system behaviour: A tutorial, Perform. Eval, vol.70, issue.5, pp.317-349, 2013.

J. Boudec, D. D. Mcdonald, and J. Mundinger, A generic mean field convergence result for systems of interacting objects, Proceedings of QEST 2007, pp.3-18, 2007.

N. Gast, Expected values estimated via mean-field approximation are 1/n-accurate, Proceedings of the 2017 ACM SIGMETRICS, p.50, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01553133

N. Gast and B. Gaujal, A mean field approach for optimization in discrete time, Discrete Event Dynamic Systems, vol.21, issue.1, pp.63-101, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00788770

N. Gast, D. Latella, and M. Massink, A refined mean field approximation of synchronous discrete-time population models. Performance Evaluation, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01845235

N. Gast and B. Van-houdt, A refined mean field approximation, Proc. ACM Meas. Anal. Comput. Syst, vol.1, issue.2, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01891642

V. N. Kolokoltsov, J. Li, and W. Yang, Mean Field Games and Nonlinear Markov Processes, 2011.

G. Thomas and . Kurtz, Solutions of Ordinary Differential Equations as Limits of Pure Jump Markov Processes, Journal of Applied Probability, vol.7, pp.49-58, 1970.

D. Latella, M. Loreti, and M. Massink, On-the-fly PCTL fast mean-field approximated model-checking for self-organising coordination, Sci. Comput. Program, vol.110, pp.23-50, 2015.

N. D. Vvedenskaya, F. Roland-l'vovich-dobrushin, and . Karpelevich, Queueing system with selection of the shortest of two queues: An asymptotic approach, Problemy Peredachi Informatsii, vol.32, issue.1, pp.20-34, 1996.

L. Ying, On the approximation error of mean-field models, Proceedings of ACM SIGMETRICS'16, 2016.