Final answer:
The best choice for a systems engineer seeking low latency and reduced bandwidth in a cloud-based solution by performing analytics on endpoints is fog computing. This method brings cloud capabilities to the edge of the network, optimizing data processing and bandwidth usage.
Step-by-step explanation:
A systems engineer looking to leverage a cloud-based architecture with low latency between network-connected devices and the ability to reduce bandwidth by performing analytics directly on the endpoints would be best served by fog computing. Fog computing, also known as fog networking or edge computing, involves extending cloud computing to the edge of an enterprise's network. It brings the cloud capabilities down to the level of individual devices, allowing for more efficient data processing and analysis by performing these tasks closer to the data source. This reduces the amount of data that needs to be transmitted over the network, thereby reducing latency and conserving bandwidth. Compared to the other options listed, fog computing is specifically designed to meet the needs described by the systems engineer.