P. Auer, N. Cesa-bianchi, Y. Freund, and R. E. Schapire, The nonstochastic multiarmed bandit problem, SIAM Journal on Computing, vol.32, issue.1, pp.48-77, 2002.

J. Baek, G. Kaddoum, S. Garg, K. Kaur, and V. Gravel, Managing fog networks using reinforcement learning based load balancing algorithm, IEEE Wireless Communications and Networking Conference (WCNC), pp.1-7, 2019.

R. Beraldi, A. Mtibaa, and H. Alnuweiri, Cooperative load balancing scheme for edge computing resources, Second International Conference on Fog and Mobile Edge Computing (FMEC), pp.94-100, 2017.

X. Cheng, X. Zhou, C. Jiang, and J. Wan, Toward computation offloading in edge computing: A survey, 2019.

E. Cuervo, A. Balasubramanian, A. Dae-ki-cho, S. Wolman, R. Saroiu et al., Maui: making smartphones last longer with code offload, pp.49-62, 2010.

C. Fricker, F. Guillemin, P. Robert, and G. Thompson, Analysis of an offloading scheme for data centers in the framework of fog computing, ArXiv, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01179206

E. Gelenbe, Random neural networks with negative and positive signals and product form solution, Neural Computation, vol.1, pp.502-510, 1989.

L. Lin, X. Liao, H. Jin, and P. Li, Computation offloading towards edge computing, 2019.

L. Liu, Z. Chang, X. Guo, S. Mao, and T. Ristaniemi, Multiobjective optimization for computation offloading in fog computing, IEEE Internet of Things Journal, vol.5, pp.283-294, 2018.

R. S. Sutton and A. G. Barto, Reinforcement Learning, An Introduction, 2018.

L. Wang and E. Gelenbe, Adaptive dispatching of tasks in the cloud, IEEE Transactions on Cloud Computing, vol.6, issue.1, pp.33-45, 2018.