RT journal article
T1 Real-Time Context-Aware Microservice Architecture for Predictive Analytics and Smart Decision-Making
A1 Ortiz Bellot, Guadalupe
A1 Caravaca Diosdado, José Antonio
A1 García de Prado Fontela, Alfonso
A1 Chávez de la O, Francisco
A1 Boubeta Puig, Juan
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
A2 Ingeniería Informática
K1 Context awareness
K1 context-aware services
K1 service-oriented architecture
K1 decision making
K1 microservice architecture
AB The impressive evolution of the Internet of Things and the great amount of data flowing through the systems provide us with an inspiring scenario for Big Data analytics and advantageous real-time context-aware predictions and smart decision-making. However, this requires a scalable system for constant streaming processing, also provided with the ability of decision-making and action taking based on the performed predictions. This paper aims at proposing a scalable architecture to provide real-time context-aware actions based on predictive streaming processing of data as an evolution of a previously provided event-driven service-oriented architecture which already permitted the context-aware detection and notification of relevant data. For this purpose, we have defined and implemented a microservice-based architecture which provides real-time context-aware actions based on predictive streaming processing of data. As a result, our architecture has been enhanced twofold: on the one hand, the architecture has been supplied with reliable predictions through the use of predictive analytics and complex event processing techniques, which permit the notification of relevant context-aware information ahead of time. On the other, it has been refactored towards a microservice architecture pattern, highly improving its maintenance and evolution. The architecture performance has been evaluated with an air quality case study.
PB IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
SN 2169-3536
YR 2019
FD 2019
LK http://hdl.handle.net/10498/22402
UL http://hdl.handle.net/10498/22402
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026