An Implementation Of InfluxDB For Monitoring And Analytics In Distributed IoT Environments
|Title||An Implementation Of InfluxDB For Monitoring And Analytics In Distributed IoT Environments|
|Publication Type||Conference Proceedings|
|Year of Conference||2018|
|Authors||Giacobbe, M., C. Chaouch, M. Scarpa, and A. Puliafito|
|Conference Name||Science of Electronics, Technologies of Information and Telecommunication Conference (SETIT 2018)|
|Conference Location||Hammamet, Tunisia|
|Keywords||cloud computing, InfluxDB, Internet of Things, smart environments, time series database|
Nowadays, having sensors and getting more data can be irrelevant without real-time insights.
This process is not trivial in a ``smart'' urban ecosystem, both for businesses and Public Administrations (PAs).
The use of the Internet of Things (IoT) together with data sharing both at the front-end and the back-end sides promises to advantage the entire urban metabolism thus (i) going beyond the old ``silos logic'' and (ii) allowing the growth of shared knowledge.
In this work we present a case study based on the implementation of the InfluxDB time series database for monitoring and analytics in distributed IoT environments.
The goal is to enable IoT-as-a-Service in geo-distributed ``smart'' ecosystems thus creating new opportunities for heterogeneous stakeholders (i.e., people, PA, academia, industries) to meet and define new synergies.