Analytics Everywhere for Streaming IoT Data

Exploring new insights from IoT data means not only providing higher-level intelligence in a timely way but also generating long-term predictions and decisions from historical IoT data. This paper aims to explore the synergy of various data rates, message passing, and processing algorithms to support streaming analytics at the edge, fog, and cloud computing environments. Towards this end, we present an IoT architecture that is capable of capturing, managing, processing, analyzing, and visualizing IoT data streams. For validation purposes, a smart parking scenario is used to evaluate our architecture.