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Risk management in cloud computing

Despite the use of efficient methods of tasks organization that has made optimal planning more possible, the risk of resources unavailability in cloud computing is still present. Taking into consideration the cloud computing bank with a somehow commercial nature, the non availability of resources, such as liquidity risk, remains. This is why we propose, through this paper, the discussion of the possibilities of predicting such a risk by the means so far applied in economy. This work suggests a method used in stock management to predict liquidity risk and proposes a model inspired from fluid mechanic to reduce such a risk. The model is an application of Bernoulli and Torricelli theorems. The resources bank can be considered as a reservoir of liquid; therefore the availability of resources depends necessarily on the liquid flow velocity and the replacement. Torricelli's theorem enables to calculate the velocity of emptying of reservoir.