  Cloud computing apparently helps in reducing costs and providing the
scheduling optimal level. In practice however it may confront the problem of
unavailability of resources. Taking into consideration the cloud computing bank
with its somehow commercial nature, the resources unavailability, such as
liquidity risk, remains. In this paper, an attempt to show through a solution
so far applied in economy, how would it be possible to predict such a liquidity
risk in cloud computing bank. The proposed solution can especially be adapted
to stock management. To reduce the risk we will also make use of a method
inspired from physics based on the fluids mechanics; it is an application of
Bernoulli's theorem called Torricelli. The resource bank will be considered as
a reservoir of liquid, and the availability of resources then will depend on
the liquid flow velocity and the replacement.
