Home // IARIA Congress 2022, The 2022 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications // View article

Common Data Model for the Microservices of a Radiopropagation Tool

Authors:
Adrián Valledor
Marcos Barranquero
Juan Casado
Josefa Gómez
Abdelhamid Tayebi

Keywords: Microservices, radiopropagation tool, REST APIs, data model, GraphQL

Abstract:
This paper presents the development and improvement of a part of a web simulation tool for radio propagation of 2D and 3D geospatial data. In particular, a fraction of its architecture, based on microservices, is shown. With this, the need to use a common data model that allows the management of the data throughout the tool is found. To solve this, some of the possible solutions to this problem are presented, such as the GraphQL Application Programming Interface or the use of REpresentational State Transfer APIs and the use of Docker together with microservices. Finally, the implementation of a model supported by geometry specifications is provided as a solution and we conclude with the results obtained together with a future work.

Pages: 61 to 64

Copyright: Copyright (c) IARIA, 2022

Publication date: July 24, 2022

Published in: conference

ISBN: 978-1-68558-017-9

Location: Nice, France

Dates: from July 24, 2022 to July 28, 2022