Cost-Efficient Strategy in Clouds with Spot Price Uncertainty

被引:5
作者
Ivashko, E. E. [1 ,2 ]
Ivashko, A. A. [1 ,2 ]
Safonov, G. R. [2 ]
Tchernykh, A. [3 ]
机构
[1] Russian Acad Sci, Karelian Res Ctr, Inst Appl Math Res, Petrozavodsk, Russia
[2] Petrozavodsk State Univ, Petrozavodsk, Russia
[3] CICESE Res Ctr, Ensenada, Baja California, Mexico
关键词
cloud computing; spot instance; mathematical modeling; full-information best-choice problem; Amazon EC2; DYNAMICS;
D O I
10.1134/S000511792004013X
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:731 / 745
页数:15
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