Towards the adoption of OMG standards in the development of SOA-based IoT systems

Autor(es)

Costa, Bruno ^[1] ; Pires, Paulo F. ^[2] ; Delicato, Flavia C. ^[2]

Afiliação do(s) autor(es)

^[1] Inst Fed Educ Ciencia & Tecnol Rio de Janeiro IFR, Rio De Janeiro - Brazil

^[2] Univ Fed Fluminense UFF, Inst Comp IC, Rio De Janeiro - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF SYSTEMS AND SOFTWARE; v. 169, NOV 2020.
• Citações Web of Science: 0

Resumo

A common feature of the Internet of Things (IoT) is the high heterogeneity, regarding network protocols, data formats, hardware and software platforms. Aiming to deal with such a degree of heterogeneity, several frameworks have applied the Model-Driven Development (MDD) to build IoT applications. On the software architecture viewpoint, the literature has shown that the Service-Oriented Architecture (SOA) is a promising style to address the interoperability of entities composing these solutions. Some features of IoT make it challenging to analyze the impact of design decisions on the SOA-based IoT applications behavior. Thus, it is a key requirement to simulate the model to verify whether the system performs as expected before its implementation. Although the literature has identified that the SOA style is suitable for addressing the interoperability, existing modeling languages do not consider SOA elements as first-class citizens when designing IoT applications. Furthermore, although existing MDD frameworks provide modeling languages comprising well-defined syntax, they lack execution semantics, thus, are not suitable for model execution and analysis. This work aims at addressing these issues by introducing IoTDraw. The framework provides a fully OMG-compliant executable modeling language for SOA-based IoT systems; thus, its specifications can be implemented by any tool implementing OMG standards. (C) 2020 Elsevier Inc. All rights reserved. (AU)

• Processo FAPESP: 15/24144-7 - Tecnologias e soluções para habilitar o paradigma de nuvens de coisas
• Beneficiário: José Neuman de Souza
• Modalidade de apoio: Auxílio à Pesquisa - Temático