To help alleviate the issues noted above, it’s important to place data processing capabilities, especially for the most time-sensitive data, at the extremities of the network where it is generated, close to sensors, machines, and IoT devices. This is edge computing.
Just as the IoT devices will need processing at the edge of the network, the data they’re amassing will need analysis. Enter fog computing. It provides low-latency analytics at the endpoints. This reduces bandwidth requirements and the distance that the data has to travel to be analyzed, which equates to cost savings.
By shortening the distance between devices and the cloud resources that serve them, edge and fog computing can turn massive amounts of machine-based data into actionable intelligence.
As IoT devices and datasets expand, the challenges around data agility, security, cost efficiency, and movement become ever more complex and the need for a High Performance Computing (HPC) solution at the edge becomes more critical.