In reply to ASR.

Great question. When we move analytics to the data, we are running rule engines as close to the source of the data as possible--the fog node at the edge of the network. So, rather than sending the huge volume of raw data collected by sensors at the edge, we can set policy in the cloud that is implemented in the fog node. Let's say we have a sensor monitoring the temperature of a piece of equipment. We can set the policy that we only care about a temperature reading above 120 degrees. The fog node then indexes all the packets coming from the sensor, and sends just the exceptions to the cloud, to alert the system of excessive heat. Or, you could set the policy so that a high temperature would trigger an immediate shut-down of the equipment. By moving the analytics capabilities to the data, fog computing generates insight (the equipment is too hot) at the source of the problem and triggers action based on policy from the cloud.