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Running on multiple clouds is not easy.
That ability to run on multiple clouds is also a key differentiator.
A model-driven approach for the design and execution of applications on multiple clouds is proposed by Ardagna et al. [33].
In this work, the optimal resource provisioning over multiple clouds is addressed by evaluating the cloud providers using SMI attributes and final deployment plan using MIP formulation.
In this paper, the resource provisioning over multiple clouds is addressed by mixed integer programming model formulation using AIMMS [4] modeling language, which provides access to a wide range of solvers including CPLEX and GUROBI.
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While mOSAIC has not promised initially to deal with this topic, in order to offer a complete solution, the problem of security in multiple Clouds was studied in order to define, develop and adopt a mOSAIC-specific security approach.
According to the NIST report [156], multiple Clouds can be used sequentially or simultaneous.
Integrating multiple cloud providers is not straightforward due to the differences between service APIs.
Additionaly, the combined use of multiple cloud technologies is becoming increasingly common.
Greplin A challenge of adopting multiple cloud services is knowing where your data lives.
Sun angle as well as the impact of multiple cloud layers is taken into account.
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