Ideal Edge Architecture to Scale IoT Devices

Due to the increasing availability of internet connection both industrial and agricultural environments have experienced an expressive increase in the number of IoT devices for the last few years. This paper exposes an extensive architecture investigation looking for an optimal edge solution to cope with existing, and future applications. This paper presents an introduction to the proposed solution in terms of architecture, including local user interface, MQTT broker, machine learning edge engine, some existing management software, local databases, actual software used for hardware communication, the edge agent and aspects of the hardware used during tests. It also presents some results obtained from experiments under heavy load in terms of data and a small number of devices in terms of distribution. Together the paper brings some important findings on edge computing, compare main architectural aspects and will provide a broad view of how edge solutions might be built for this particular scenario. Having discussed how the ideal architecture works and having provided an overview of how it may be applied to industrial and agricultural environments, the conclusion points to the next steps for the current research.