An index policy for dynamic pricing in cloud computing under price commitments
Applicationes Mathematicae, Tome 44 (2017) no. 2, pp. 215-245
Voir la notice de l'article provenant de la source Institute of Mathematics Polish Academy of Sciences
A dynamic pricing based resource allocation problem for cloud computing is cast as a Markov decision process with average reward and hard per time combinatorial constraints. Following Whittle, its relaxation as a constrained average reward Markov decision process is analyzed and its Whittle indexability is established. An iterative scheme to compute the Whittle indices is also proposed.
Keywords:
dynamic pricing based resource allocation problem cloud computing cast markov decision process average reward hard per time combinatorial constraints following whittle its relaxation constrained average reward markov decision process analyzed its whittle indexability established iterative scheme compute whittle indices proposed
Affiliations des auteurs :
V. S. Borkar 1 ; K. Ravikumar 2 ; Krishnakant Saboo 3
@article{10_4064_am2313_6_2017,
author = {V. S. Borkar and K. Ravikumar and Krishnakant Saboo},
title = {An index policy for dynamic pricing in cloud computing under price commitments},
journal = {Applicationes Mathematicae},
pages = {215--245},
publisher = {mathdoc},
volume = {44},
number = {2},
year = {2017},
doi = {10.4064/am2313-6-2017},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.4064/am2313-6-2017/}
}
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V. S. Borkar; K. Ravikumar; Krishnakant Saboo. An index policy for dynamic pricing in cloud computing under price commitments. Applicationes Mathematicae, Tome 44 (2017) no. 2, pp. 215-245. doi: 10.4064/am2313-6-2017
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