Edge computing systems distinguish between “disposable” data (data characterized by minimal or no potential for later reuse) and “critical”/“hypercritical” data. Here, the edge system serves as a hyper-responsive intermediary layer between the cyber-physical systems on the one hand and the data center on the other.
In view of the immense flood of data, the system prioritizes data when archiving, i.e., only reusable data is saved. This avoids bottlenecks in data transfer to the edge of the network, minimizes network load and enables real-time work. Accordingly, after the initial analysis, raw data is deleted and only the derived insights are forwarded to the server.
Edge computing forms the link between the core data centers and the IoT sensor technology of the end devices. It offloads conventional computing systems and guarantees smooth functionality of cognitive systems and other latency-sensitive applications.