RT conference output
T1 Paving the Way for a Real-Time Context-Aware Predictive Architecture
A1 Corral Plaza, David José
A1 Ortiz Bellot, Guadalupe
A1 Boubeta Puig, Juan
A2 Ingeniería Informática
K1 Prediction
K1 Context-awareness
K1 Internet of Things
K1 Event-Driven Service-Oriented Architectures
AB Internet of Things society generates and needs to consume huge amounts of data in a demanding context-aware scenario. Such exponentially growing data sources require the use of novel processing methodologies, technologies and tools to facilitate data processing in order to detect and prevent situations of interest for the users in their particular context. To solve this issue, we propose an architecture which making use of emerging technologies and cloud platforms can process huge amounts of heterogeneous data and promptly alert users of relevant situations for a particular domain according to their context. Last, but not least, we will provide a graphical tool for domain experts to easily model, automatically generate code and deploy the situations to be detected and the actions to be taken in consequence. The proposal will be evaluated through a real case study related to air quality monitoring and lung diseases in collaboration with a doctor specialist on lung diseases of a public hospital.
PB Springer
SN 978-3-319-91763-4
SN 978-3-319-91764-1
YR 2018
FD 2018
LK http://hdl.handle.net/10498/24830
UL http://hdl.handle.net/10498/24830
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026