Elastic Data Analytics for the Cloud-to-Things Continuum





Publicado en

Actas de las XVIII Jornadas de Ciencia e Ingeniería de Servicios (JCIS 2023)

Licencia Creative Commons


The massive deployment of Internet-connected devices has led to an increase in the collection of data that are then used by companies to improve their decision-making processes. This growing trend demands more and more cloud and communications infrastructure. The limited resources, the need for sharing them, and the fact that many consumers are interested in the same data, call for an efficient management of the available resources. The Cloud-to-things continuum can be used to execute different analytics closer to the data source so that infrastructure consumption and data circulation can be optimized. In this article, we propose using elastic data analytics, whose behaviour can be dynamically modified according to the quality requirements defined by each IoT system and the available resources of the Cloud-to-things infrastructure. In addition, a framework for dynamically modifying their behavior is proposed.


Acerca de Laso Mangas, Sergio

Palabras clave

Cloud Computing, Data Analysis, Decision Making, Internet Of Things
Página completa del ítem
Notificar un error en este resumen
Mostrar cita
Mostrar cita en BibTeX
Descargar cita en BibTeX