TY - GEN
T1 - Hacia un método para la integración de IoT y aplicaciones SIG desplegadas en plataformas Cloud
AU - Lopez, Daniel Alberto Rodriguez
AU - Lopez, Juan Ramon Rodriguez
AU - Prieto, Miguel Angel Zuniga
AU - Quinde, Lizandro Damian Solano
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The use of the Internet for the deployment of GIS applications allows the adoption of technologies such as IoT and cloud facilitating the automation of process such as sensor data collection and providing a technological infrastructure with high storage and processing capacities. However, heterogeneity in the technology of IoT devices and resources offered by cloud providers hinders the integration and interaction. Most current proposals addressing IoT and cloud technology integration focus on platforms that automate integration and application development support tools, but do not provide a guide that allows the definition of a flexible architecture that integrates services of a GIS application independently of its technology and provides support in the design of infrastructure in stages of deployment of both cloud environments and IoT. In this paper we propose a method for the development of GIS applications that facilitates the integration of IoT devices and cloud platforms as a technological deployment infrastructure. The feasibility of this proposal has been illustrated by the design and implementation of a GIS application that collects air quality data using sensors with a real-time IoT paradigm, and uses the Google Cloud platform for deployment.
AB - The use of the Internet for the deployment of GIS applications allows the adoption of technologies such as IoT and cloud facilitating the automation of process such as sensor data collection and providing a technological infrastructure with high storage and processing capacities. However, heterogeneity in the technology of IoT devices and resources offered by cloud providers hinders the integration and interaction. Most current proposals addressing IoT and cloud technology integration focus on platforms that automate integration and application development support tools, but do not provide a guide that allows the definition of a flexible architecture that integrates services of a GIS application independently of its technology and provides support in the design of infrastructure in stages of deployment of both cloud environments and IoT. In this paper we propose a method for the development of GIS applications that facilitates the integration of IoT devices and cloud platforms as a technological deployment infrastructure. The feasibility of this proposal has been illustrated by the design and implementation of a GIS application that collects air quality data using sensors with a real-time IoT paradigm, and uses the Google Cloud platform for deployment.
KW - Cloud
KW - GIS
KW - Integration
KW - IoT
KW - Sensor
UR - https://www.scopus.com/pages/publications/85050964226
U2 - 10.1109/INCISCOS.2017.57
DO - 10.1109/INCISCOS.2017.57
M3 - Contribución a la conferencia
AN - SCOPUS:85050964226
T3 - Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
SP - 353
EP - 360
BT - Proceedings - 2017 International Conference on Information Systems and Computer Science, INCISCOS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Information Systems and Computer Science, INCISCOS 2017
Y2 - 23 November 2017 through 25 November 2017
ER -