Data Mining for the Internet of Things with Fog Nodes

The paper describes an approach of applying an actor model that executes Data Mining algorithms to analyze data in IoT systems with a distributed architecture (with Fog Computing). The approach allows to move computational load closer to the data, thus increasing performance of the analysis and decreasing network traffic. Execution of the 1R algorithm in an IoT system with a distributed architecture and the results of the comparison of distributed and centralized architectures are shown in the paper.