L. F. Sarmenta, Volunteer computing, Massachusetts Institute of Technology, 2001.

D. P. Anderson and G. Fedak, The computational and storage potential of volunteer computing, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06), vol.1, pp.73-80, 2006.

Z. Zheng and S. Xie, Blockchain challenges and opportunities: A survey, International Journal of Web and Grid Services, 2018.

L. S. Shapley, Stochastic games, Proceedings of the National Academy of Sciences, vol.39, issue.10, pp.1095-1100, 1953.

E. Maskin and J. Tirole, Markov perfect equilibrium: I. observable actions, Journal of Economic Theory, vol.100, issue.2, pp.191-219, 2001.

D. Gillette, Stochastic games with zero stop probabilities, Contributions to the Theory of Games, vol.3, pp.179-187, 1957.

A. M. Fink, Equilibrium in a stochastic n-person game, Journal of Science of the Hiroshima University, series A-I (Mathematics), vol.28, issue.1, pp.89-93, 1964.

J. Mertens and A. Neyman, Stochastic games, International Journal of Game Theory, vol.10, issue.2, pp.53-66, 1981.

J. K. Goeree and C. A. Holt, Stochastic game theory: For playing games, not just for doing theory, Proceedings of the National Academy of Sciences, vol.96, issue.19, pp.10-564, 1999.

E. Altman, T. Boulogne, R. El-azouzi, T. Jiménez, and L. Wynter, A survey on networking games in telecommunications, Computers & Operations Research, vol.33, issue.2, pp.286-311, 2006.
URL : https://hal.archives-ouvertes.fr/hal-02172104

E. Altman, R. El-azouzi, and T. Jimenez, Slotted Aloha as a stochastic game with partial information, WiOpt'03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, p.9, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00466286

B. Wang, Y. Wu, K. R. Liu, and T. C. Clancy, An anti-jamming stochastic game for cognitive radio networks, IEEE Journal on Selected Areas in Communications, vol.29, issue.4, pp.877-889, 2011.

F. Fu and U. C. Kozat, Stochastic game for wireless network virtualization, IEEE/ACM Transactions on Networking, vol.21, issue.1, pp.84-97, 2013.

E. Altman, Non zero-sum stochastic games in admission, service and routing control in queueing systems, Queueing Systems, vol.23, issue.1-4, pp.259-279, 1996.

M. Bowling and M. Veloso, An analysis of stochastic game theory for multiagent reinforcement learning, Tech. Rep, 2000.

N. Bellomo, Modeling complex living systems: A kinetic theory and stochastic game approach, 2008.

E. Altman and N. Shimkin, Individual equilibrium and learning in processor sharing systems, Operations Research, vol.46, issue.6, pp.776-784, 1998.

A. Nahir, A. Orda, and D. Raz, Workload factoring with the cloud: A game-theoretic perspective, IEEE International Conference on Computer Communications (INFOCOM), vol.12, pp.2566-2570, 2012.

R. Hassin and M. Haviv, Nash equilibrium and subgame perfection in observable queues, Annals of Operations Research, vol.113, issue.1-4, pp.15-26, 2002.

J. Wang and F. Zhang, Strategic joining in M/M/1 retrial queues, vol.230, pp.76-87, 2013.

J. Hu and M. P. Wellman, Nash Q-learning for general-sum stochastic games, Journal of Machine Learning Research, vol.4, pp.1039-1069, 2003.

C. Jiang, Y. Chen, Y. Yang, C. Wang, and K. R. Liu, Dynamic Chinese restaurant game: Theory and application to cognitive radio networks, IEEE Transactions on Wireless Communications, vol.13, issue.4, pp.1960-1973, 2014.

C. Wang, Y. Chen, and K. R. Liu, Game-theoretic cross social media analytic: How Yelp ratings affect deal selection on Groupon, IEEE Transactions on Knowledge and Data Engineering, vol.30, issue.5, pp.908-921, 2018.

I. Abraham, D. Dolev, R. Gonen, and J. Halpern, Distributed computing meets game theory: Robust mechanisms for rational secret sharing and multiparty computation, ACM Symposium on Principles of Distributed Computing, pp.53-62, 2006.

Y. Kwok, S. Song, and K. Hwang, Selfish grid computing: Gametheoretic modeling and NAS performance results, IEEE International Symposium on Cluster Computing and the Grid, 2005.

G. Wei, A. V. Vasilakos, Y. Zheng, and N. Xiong, A game-theoretic method of fair resource allocation for cloud computing services, The Journal of Supercomputing, vol.54, issue.2, pp.252-269, 2010.

B. Chun, K. Chaudhuri, H. Wee, M. Barreno, C. H. Papadimitriou et al., Selfish caching in distributed systems: A game-theoretic analysis, ACM Symposium on Principles of Distributed Computing, pp.21-30, 2004.

D. Grosu and A. T. Chronopoulos, Noncooperative load balancing in distributed systems, Journal of Parallel and Distributed Computing, vol.65, issue.9, pp.1022-1034, 2005.

A. Sapirshtein, Y. Sompolinsky, and A. Zohar, Optimal selfish mining strategies in bitcoin, International Conference on Financial Cryptography and Data Security, pp.515-532, 2016.

Y. Lewenberg, Y. Bachrach, Y. Sompolinsky, A. Zohar, and J. S. Rosenschein, Bitcoin mining pools: A cooperative game theoretic analysis, International Conference on Autonomous Agents and Multiagent Systems (AAMAS). IFAAMAS, pp.919-927, 2015.

Z. Xiong, S. Feng, D. Niyato, P. Wang, and Z. Han, Optimal pricingbased edge computing resource management in mobile blockchain, IEEE International Conference on Communications (ICC), pp.1-6, 2018.

E. Altman, A. Reiffers, D. S. Menasché, M. Datar, S. Dhamal et al., Mining competition in a multi-cryptocurrency ecosystem at the network edge: A congestion game approach, ACM SIGMETRICS Performance Evaluation Review, vol.46, issue.3, pp.114-117, 2019.
URL : https://hal.archives-ouvertes.fr/hal-01906954

A. Kiayias, E. Koutsoupias, M. Kyropoulou, and Y. Tselekounis, Blockchain mining games, ACM Conference on Economics and Computation (EC), pp.365-382, 2016.

J. H. Hubbard and B. B. Hubbard, Vector calculus, linear algebra, and differential forms: A unified approach, Matrix Editions, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01297648

D. P. Bertsekas and J. N. Tsitsiklis, Neuro-dynamic programming: an overview, IEEE Conference on Decision and Control (CDC), vol.1, pp.560-564, 1995.