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Título
A deep tech architecture for intelligent IoT systems
Autor(es)
Assunto
Edge Computing
Machine Learning
Deep Tech
Internet of Things
IoT
Clasificación UNESCO
1203.17 Informática
Fecha de publicación
2020
Editor
Ediciones Universidad de Salamanca (España)
Citación
Ozturh. M. (2020). A deep tech architecture for intelligent IoT systems. En Sara Rodríguez González, Fernando de la Prieta Pintado, José Alberto García Coria, Roberto Casado Vara (eds.) The role of artificial intelligence and distributed computing in IOT Applications, pp. 41-54
Serie / N.º
Aquilafuente;287
Resumen
[EN]The increase in the number of connected devices on the
Internet of Things (IoT), interactions and the amount of data raises a number
of issues. Two major problems are limitations in terms of network latency
and bandwidth. While cloud-based infrastructures give us access to scalable,
on-demand storage and processing services that can scale to the requirements
of the Internet of Things (IoT), these centralized resources can create unacceptable
delays and performance problems for devices that have latency-sensitive
applications, such as health monitoring and emergency response applications.
This article has been created for the PhD thesis that aims to create a deep
tech architecture for intelligent IoT systems.
URI
DOI
10.14201/0AQ02874154
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- BISITE. Capítulos de libro [39]
- Colección Aquilafuente [453]
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