On the Fog Node Model for Multi-purpose Fog Computing Systems
Tuvakov Jemshit, Keehyun Park · 2018
Fog computing aims to process the data locally and transmit only meaningful part of the data to the cloud instead of transmitting the raw data. Consequently, it helps reduce the volume of data and react to real-time events with lower latency for IoT systems. In this work, we introduced a conceptual fog node model for multi-purpose fog computing systems. This fog node model contains modules, such as analytics tools, collaboration logic, cryptography, etc. that are essential to accomplish the goals of fog computing.