Geodesic
Cost-efficient strategy in clouds with spot price uncertainty
Matematičeskaâ teoriâ igr i eë priloženiâ, Tome 11 (2019) no. 3, pp. 5-30

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We address a cloud spot bidding problem for user cost optimization. We propose stochastic optimization model to minimize the expected resource rental cost in the presence of spot price uncertainty. The model is based on the well-known full-information best-choice problem. Based on the model, we derive the strategy for cloud spots bidding. The strategy allows to minimize the expected cost for a spot instance in a specific period of time with quality of service guarantee. Our simulation analysis based on realistic settings clearly demonstrates the advantages of the proposed optimization solutions.
Keywords: cloud computing, spot instance, mathematical modeling, full-information best-choice problem
Mots-clés : Amazon EC2. 
@article{MGTA_2019_11_3_a2,
     author = {Evgeny E. Ivashko and Anna A. Ivashko and Georgy R. Safonov and Andrey Tchernykh},
     title = {Cost-efficient strategy in clouds with spot price uncertainty},
     journal = {Matemati\v{c}eska\^a teori\^a igr i e\"e prilo\v{z}eni\^a},
     pages = {5--30},
     publisher = {mathdoc},
     volume = {11},
     number = {3},
     year = {2019},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MGTA_2019_11_3_a2/}
}
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Evgeny E. Ivashko; Anna A. Ivashko; Georgy R. Safonov; Andrey Tchernykh. Cost-efficient strategy in clouds with spot price uncertainty. Matematičeskaâ teoriâ igr i eë priloženiâ, Tome 11 (2019) no. 3, pp. 5-30. http://geodesic.mathdoc.fr/item/MGTA_2019_11_3_a2/