Recently at HarperDB, we have been performing some proof of concept projects which demonstrate the ability to consume, process and distribute sensor data directly on the edge and in many cases directly on these actual devices. Some of the projects are with clients while there are others that we undertake ourselves for R&D. In the past month we have integrated a variety of sensors with HarperDB including GPS and OBD2 sensors for vehicles, and high performance electrical relays for industrial plants. The projects all have the same workflows and similar outcomes - collect high frequency sensor data, perform filtering and analytics directly on the edge and provide real-time pertinent events directly to end users. The edge database capabilities of HarperDB provide a platform for edge computing and analytics - allowing companies to keep up with the explosion of sensors and data.
Microprocessors with ARM architecture have become inexpensive yet powerful tools particularly for edge based computing. High performance tablets and smart phones have also become edge computing devices which allow companies to take advantage of existing devices - particularly in mobile applications. With the explosion of IoT devices, edge based collection and processing will become an important component of an overall OT solution as traditional cloud based solutions become costly and difficult to scale and maintain. Basically, there is too much data and a large percentage of this data is not valuable. By filtering and processing these data streams on the edge, the amount of noise can be significantly reduced along with the strain on backend systems that traditionally collect, store, and process everything.