Evaluation and experimentation for "Internet of Things" platforms

Project Coordinator: Eng. Ec. Ștefan PREDA – Scientific Researcher

Overall objectives of the project

research on dedicated „Internet of Things” platforms;
development and experimentation „Internet of Things” reference platform;
development and testing of statistical calculation applications for the IoT reference platform.

Results

study of the existing offer of the IoT platforms and identification of 11 criteria for comparative evaluation of the platforms included in this offer
selecting and investigating in detail five IoT platforms (AWS IoT, Carriots, ThingWorx, ThingSpeak, thinger.io);
setting up test configurations for evaluating and experimenting the investigated platforms (ThingWorx, Thingspeak and thinger.io)
analysis of the short- and medium-term evolution perspectives of the IoT platforms offer;
research report on the installation, configuration and experimentation of an open-source IoT platform application in the cloud and the design, development, implementation and experimentation of the own IoT platform functionalities;
ThingsBoard open-source IoT platform functional experimental configuration installed in the cloud on Docker container-based OpenShift platform and Kubernetes container manager;
own functional components IoT experimental platform;
research report on notions and methods of statistical analysis and data exploration - data mining - for IoT data, their development and experimentation, case study, instructions for use;
experimental statistical application with multiple linear regression IoT data, to verify the existence of correlations / dependencies between data and development of a predictive model, using the R environment;
experimental interactive web applications for visual analysis and exploration of data, with the calculation of descriptive statistical measures, using the Shiny system on the OpenShift platform.