Dynamic Data Translation Method for Data Sharing Platform

• Main Author: Santos, Filipe Pereira dos
• Publication Date: 2024
• Format: Master thesis
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: https://hdl.handle.net/10348/12888
• topic: Data Translation; Data Conversion; IoT; Interoperability; API; gRPC

In recent years, there has been a growing IoT field and it is expected to keep growing in the years to come. Currently, this field is estimated to be worth about 240 billion dollars with an expectancy of reaching 520 billion by 2027. In terms of devices, it is estimated that about 13 billion devices are connected with a prospect of reaching 23 billion devices by 2027. The industry value and the number of devices connected show that this is a hot field, and with that, it brings a lot of new players into this field with new data formats, new devices, new innovations in the cloud side, new mobile technologies, new communication protocols, new data protocols, and many other improvements. So, with new devices and new data formats, the problem of data interoperability occurs between devices and cloud platforms, since it is required that data from the devices be interpreted by the platform. This dissertation proposed a way to solve it by creating a component on the cloud side that does the data conversion to a data format that is supported by the cloud platform. For this component to be integrated with a microservices architecture, it was also built a library that use gRPC technology as the technology of communication. The components developed with this library, therefore, receive requests from the other services of the platform via gRPC. With this library, it is possible to develop components that, expeditiously, receive requests from clients, perform the data translation, and then return the data in a new data format.