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7 CONCLUSIONS
In this paper, we presented an approach to deploy
arbitrary applications on arbitrary infrastructures by
leveraging the concept of templates. We showed in
case studies how the reuse of deployment models can
be enabled to deploy applications on heterogeneous
resources such as virtual machines, PaaS layers, and
also bare-metal machines. Further, our approach en-
ables developers to choose their preferred platform
and package their applications along with it in a single
archive. This enables to port applications from one
*aaS provider to another without the need to change
implementations as the needed platform API’s and
services can be shipped together with the application.
Our approach enables wrapping entire *aaS lay-
ers in a reusable manner and, thereby, allows to cope
with future challenges of growing fields such as IoT
and Fog Computing. One challenge of those fields
is to integrate local bare-metal resources with virtual
resources of the cloud, and enable applications to be
migrated between those resources. By enabling reuse
of proven SMAARTs to automatically deploy *aaS
layers on environments close to the “edge”, the com-
plexity of migrating applications from the traditional
cloud to these scenarios is significantly reduced.
For future work, we plan to extend our approach
by generating SMAART archives in an automated
way, e.g., by determining the Application Type and
Implementation Placeholder of a deployment model.
Moreover, we plan to extend the approach to refer-
ence multiple infrastructures suitable to be used as
underlying resources for the deployment model.
ACKNOWLEDGEMENTS
This work was funded by the BMWi project Smar-
tOrchestra (01MD16001F).
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The SePaDe System: Packaging Entire XaaS Layers for Automatically Deploying and Managing Applications
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