A generic data management framework for the internet of things
Fecha
2019Autor
Núñez Sánchez, Diego Fernando
Cantor, Juan Sebastián
Galpin, I.
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Resumen
By 2025, it is estimated that there will be over 75 billion
devices connected to the Internet, and it is expected that data volumes
will continue to grow exponentially. As such, there will be an increasing
need for e ective data management of data generated by sensors in the
Internet of Things (IoT). In this paper, we propose a lightweight, generic
data processing framework that may be easily customized for a diverse
range of data-handling IoT applications. The sensor types required by an
application are speci ed as metadata. Sensed data is persistently stored
in a horizontally partitioned relational database across IoT nodes. Subsequently,
it may be retrieved by posing SQL queries over the nodes, which
may be historical or real-time. Alternatively, the sensed data may also
be retrieved as a JSON document over a RESTful interface, thus potentially
enabling easier integration with cloud and mobile platforms. We
show an instantiation of the framework for applications in the climate
monitoring and security domains.
Palabras clave
Distributed data management; Query processing; Internet of thingsEnlace al recurso
https://www.semanticscholar.org/paper/A-Generic-Data-Management-Framework-for-the-of-Núñez-Sánchez-Cantor/082e1753a3b62ce29bb2b4391bbf9f7129c481f3Colecciones
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