E. Altman, Applications of Markov Decision Processes in Communication Networks, Handbook of Markov Decision Processes, chapter 16, 2002.
DOI : 10.1007/978-1-4615-0805-2_16
URL : https://hal.archives-ouvertes.fr/inria-00072663

F. De-véricourt, F. Karaesmen, and Y. Dallery, Optimal Stock Allocation for a Capacitated Supply System, Management Science, vol.48, issue.11, pp.1486-1501, 2002.
DOI : 10.1287/mnsc.48.11.1486.263

R. Dekker, R. M. Hill, M. J. Kleijn, and R. H. Teunter, On the (S ? 1,S) lost sales inventory model with priority demand classes, Naval Research Logistics, vol.13, issue.57, pp.593-610, 2002.
DOI : 10.1002/nav.10032

P. Glasserman and D. Yao, Monotone Structure in Discrete Event Systems., Biometrics, vol.51, issue.3, 1994.
DOI : 10.2307/2533035

A. Y. Ha, Inventory Rationing in a Make-to-Stock Production System with Several Demand Classes and Lost Sales, Management Science, vol.43, issue.8, pp.1093-1103, 1997.
DOI : 10.1287/mnsc.43.8.1093

A. Y. Ha, /1 Make-to-Stock Queue, Management Science, vol.46, issue.1, pp.77-87, 2000.
DOI : 10.1287/mnsc.46.1.77.15135

A. J. Kleywegt and J. D. Papastavrou, The Dynamic and Stochastic Knapsack Problem, Operations Research, vol.46, issue.1, pp.17-35, 1998.
DOI : 10.1287/opre.46.1.17
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.5029

G. Koole, Monotonicity in Markov reward and decision chains: Theory and applications. Foundation and Trends in Stochastic Systems, 2006.

A. A. Kranenburg and G. J. Van-houtum, Cost optimization in the lost sales inventory model with multiple demand classes, Operations Research Letters, vol.35, issue.4, pp.493-502, 2007.
DOI : 10.1016/j.orl.2006.04.004

S. A. Lippman, Applying a New Device in the Optimization of Exponential Queuing Systems, Operations Research, vol.23, issue.4, pp.687-710, 1975.
DOI : 10.1287/opre.23.4.687

M. Mazzucco, I. Mitrani, J. Palmer, M. Fisher, and P. Mckee, Web Service Hosting and Revenue Maximization, Fifth European Conference on Web Services (ECOWS'07), pp.45-54
DOI : 10.1109/ECOWS.2007.8