A good example of where this works in practice includes sectors such as agriculture, where farmers install cameras to monitor the conditions of animals or to optimize water usage by keeping track of crop conditions using moisture sensors. Rather than face challenges in terms of processing time and sending video streams outside the farm, using fog nodes requires less bandwidth and can handle computing on site. It also means multiple video streams can be processed at the same time.
Meanwhile, in the energy sector, fog nodes can speed up the ability to make decisions, such as changing the temperature based on sensor data from within a power plant. Similar advantages can be seen in adjacent markets, including oil and gas, telematics, forestry and even seismology, helping detect earthquakes and related seismic activity.
In general, fog is often deployed in areas where data and connectivity is highly distributed over a WAN or areas with limited bandwidth or intermittent network access.
It is important to recognize that the answer to the question "What is fog computing?" is not "a replacement for the cloud." Fog nodes can use core cloud capabilities to gather data in central locations. In other circumstances, though, the fog can be completely distributed, offering organizations flexibility in where they apply the technology for maximum business value.
Learn more about how to take advantage of both fog and edge computing in your business.