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.