Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/81647

TítuloA modeling domain-specific language for IoT-enabled operating systems
Autor(es)Gomes, Tiago Manuel Ribeiro
Lopes, P.
Alves, J.
Mestre, P.
Cabral, Jorge
Monteiro, João L.
Tavares, Adriano
Palavras-chaveDomain-Specific Language (DSL)
Internet of Things (IoT)
embedded Operating Systems
model-driven development
Data2017
EditoraIEEE
RevistaIEEE Industrial Electronics Society
CitaçãoT. Gomes et al., "A modeling domain-specific language for IoT-enabled operating systems," IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017, pp. 3945-3950, doi: 10.1109/IECON.2017.8216675.
Resumo(s)With the increased complexity of low-end devices in the Internet of Things (IoT), mainly due to the connectivity and interoperability requirements, the development and configuration of embedded operating systems (OSes) for such devices is not straight forward. The complexity of the communication requirements is usually mitigated by the OS, e.g., the Contiki-OS, as it already incorporates an IoT-compliant network stack. Yet, the configuration of such stack requires major knowledge on the code structure, leading to additional development time, particularly when the network comprises several wireless nodes and individual configurations with subsequent firmware that needs to be generated. Based on a developed software modeling domain-specific language, this paper presents the EL4IoT framework. It aims to reduce and ease the development time by promoting a design automation tool that can configure, and automatically generate code (ready to compile) for low-end IoT devices running the Contiki-OS. Although leveraging the whole Contiki-OS modeling, this work only refactored and modeled the network stack while approaching the OS itself as one big building block or component. The proposed approach can be extended to other IoT-enabled OSes as well as integrated in other design automation tools.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/81647
ISBN9781538611272
DOI10.1109/IECON.2017.8216675
ISSN1553-572X
Versão da editora10.1109/IECON.2017.8216675
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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