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The wide spread deployment of smart edge devices and applications that
require real-time data processing, have with no doubt created the need to
extend the reach of cloud computing to the edge, recently also referred to as
Fog or Edge Computing. Fog computing implements the idea of extending
the cloud where the "things" are, or in other words, improving application
performance and resource eciency by removing the need to processing all
the information in the cloud, thus also reducing bandwidth consumption in
the network. Fog computing is designed to complement cloud computing,
paving the way for a novel, enriched architecture that can benet from and
include both edge(fog) and cloud resources. From a resources perspective,
this combined scenario requires resource continuity when executing a service,
whereby the assumption is that the selection of resources for service execution
remains independent of their physical location. This new resources model,
i.e., resource continuity, has gained recently signicant attention, as it carries
potential to seamlessly providing a computing infrastructure from the edge
to the cloud, with an improved performance and resource eciency. In this
paper, we study the main architectural features of the managed resource
continuity, proposing the foundation of a coordinated management plane
responsible for resource continuity provisioning. We study an illustrative
example on the performance benets in relationship to the size of databases
with regard to the proposed architectural model
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