Patrón para identificar en la web de las cosas los puntos de despliegue de algoritmos de inteligencia artificial

Camilo Enrique Romero Parra; Carlos Alberto Cobos Lozada; Miguel Angel Niño Zambrano

doi:10.24054/rcta.v1i43.2912

Authors

Camilo Enrique Romero Parra Universidad del Cauca https://orcid.org/0000-0002-2780-6034
Carlos Alberto Cobos Lozada Universidad del Cauca https://orcid.org/0000-0002-6263-1911
Miguel Angel Niño Zambrano Universidad del Cauca https://orcid.org/0000-0002-5916-2552

DOI:

https://doi.org/10.24054/rcta.v1i43.2912

Keywords:

Internet of Things, Architectural Pattern, Web of Things, Software Engineering, Artificial Intelligence

Abstract

When developing IoT solutions, limitations in hardware and software capabilities arise. Additionally, the developer must choose the location within the ecosystem that best suits the development needs, having three possible processing locations: the network edge, the fog, and the cloud. This article proposes an architectural pattern that guides the selection of deployment point for AI algorithm-based applications based on the needs of the developed technological solution. The pattern was obtained using the Pratt's Iterative Research Pattern as a methodology. A real-world example was used, and the proposed step-by-step approach was applied to demonstrate the pattern's usefulness. It was concluded that the selection of processing location should consider the end-user needs and any limitations that may arise.

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