Both are related concepts and pushes data processing capabilities closer to where the data originates, but differ in their emphasis. Fog computing pushes the data processing capabilities further into the local network, whereas edge computing places that data processing capabilities onto central edge devices like routers and switches.
I also read some links like
https://www.cisco.com/c/en/us/solutions/enterprise-networks/edge-computing.html
https://readwrite.com/2016/08/05/fog-computing-different-edge-computing-pl1/
https://www.capgemini.com/2017/03/what-is-fog-and-edge-computing/
https://blog.ipswitch.com/edge-computing-vs-fog-computing
I am wondering about the other major differences between them.
check the website - https://www.cisco.com/c/en/us/solutions/enterprise-networks/edge-computing.html
https://www.winsystems.com/cloud-fog-and-edge-computing-whats-the-difference
Fog Computing
Fog computing and edge computing appear similar since they both involve bringing intelligence and processing closer to the creation of data. However, the key difference between the two lies in where the location of intelligence and compute power is placed. A fog environment places intelligence at the local area network (LAN). This architecture transmits data from endpoints to a gateway, where it is then transmitted to sources for processing and return transmission. Edge computing places intelligence and processing power in devices such as embedded automation controllers.
For example, a jet engine test produces a large amount of data about the engine’s performance and condition very quickly. Industrial gateways are often used in this application to collect data from edge devices, which is then sent to the LAN for processing.
Edge Computing
The IoT has introduced a virtually infinite number of endpoints to commercial networks. This trend has made it more challenging to consolidate data and processing in a single data center, giving rise to the use of “edge computing.” This architecture performs computations near the edge of the network, which is closer to the data source.
Edge computing is an extension of older technologies such as peer-to-peer networking, distributed data, self-healing network technology and remote cloud services. It’s powered by small form factor hardware with flash-storage arrays that provide highly optimized performance. The processors used in edge computing devices offer improved hardware security with a low power requirement. WINSYSTEMS’ industrial embedded SBCs and data acquisition modules provide gateways for the data flow to and from an organization’s computing environments.
The IIoT is composed of edge, fog and cloud architectural layers, such that the edge and fog layers complement each other. Fog computing uses a centralized system that interacts with industrial gateways and embedded computer systems on a local area network, whereas edge computing performs much of the processing on embedded computing platforms directly interfacing to sensors and controllers. However, this distinction isn’t always clear, since organizations can be highly variable in their approach to data processing.
- Badges
- Science method