Author:
Costa João Pedro de S. J. da,Dantas Mário A. R.,David José Maria N.,Silva Fernando de Almeida
Abstract
Interoperability and data reduction have been proven beneficial to health and medical applications that deal with large datasets. Still, the conflicts between these qualities turned out to be a problem for their conciliation. This paper presents an edge-fog-cloud architecture that offers functionalities as a service. These functionalities can guarantee certain qualities depending on the necessities of the client, such as, in our case, interoperability and data reduction. With the use of context simulators, we found that it was possible to significantly increase the output of data delivered to the servers, and decrease the size of the data that transitions in the network and is stored in the servers’ databases, without interfering with the syntactic interoperability.
Publisher
Sociedade Brasileira de Computação