CONCLUSIONS
The CIM, a cloud distributed semantically interoperable data exchange
platform based on semantic technologies, is presented in this work. This
technology advances current suggestions for data interchange in disaster
recovery by addressing security, scalability, and interoperability
concerns. To the best of the authors’ knowledge, it is the only
technology available to provide secure cloud communication across
systems that
use diverse DR techniques. Furthermore, the CIM tool is
platform-independent and may be used by DR systems to decentralize its
components or communicate with other DR systems built with other
standards. DR systems that rely on ontology-based standards, such as
those indicated in Section 2, can automatically incorporate CIM by
supplying the SHACL shapes that go with them. DR systems that do not
rely on ontologies will need to provide interoperability modules to
facilitate the conversion of their payload format and model into JSON-LD
models based on any ontology.
Technically, the trials conducted have demonstrated that the CIM is an
effective instrument for data interchange. Furthermore, investigations
reveal that, in general, payload translation does not result in a
considerable increase in reaction times. Nonetheless, it must be
admitted that in one instance, the translation did result in an
overhead. Finally, tests have proven that the CIM is capable of
delivering big payloads up to 9Mb in size.
Future work will focus on improving translation times for those marginal
circumstances where there is an overhead. To that purpose, new payload
translation libraries and algorithms will be integrated and evaluated
with the CIM. In addition, the CIM will be used in additional use cases
to examine its acceptance in domains other than DR.
As a last note, keep in mind that CIM response times will increase as
network technology advances. Its connection with 5G will be tested in
the future to see if this new technology improves data sharing
significantly.