Edge computing Vs. Fog Computing Vs. Cloud Computing
Given below are the differences between Edge computing Vs. Fog Computing Vs. Cloud Computing:
Location of Data Processing
The Main Difference between edge computing, cloud computing, and fog computing is that edge computing is where data processing occurs.For Cloud computing, data is processed on the cloud server, located far away from the information source. One example is taking storage on the cloud by creating an instance like EC2 instances on amazon service for storing data.Edge computing occurs most of the time our IoT sensors are connected.Fog Computing shifts the edge computing tasks connected to the LAN hardware or for LAN direct to be more distant to the sensors.
Processing Power and Storage Capabilities
Cloud computing provides high level and very advanced processing technology capabilities. It can store more data storage than fog computing with limited processing.Compared to edge computing, the process power and storage capacity are even lesser than cloud computing for IoT devices and sensors.
Purpose
Cloud computing is completely suited for the long term, in-depth analysis of data and storage. On the other hand, Fog and Edge computing are more suitable for the quick analysis required for real-time response.Conclusion
Cloud technologies are already bringing multiple advantages to the IoT, but progress doesn’t end here. Here is a trend about cloud computing is the most prominent form of IoT data management. Fog computing, cloud computing, and edge computing technologies have irreplaceable solutions to many IoT challenges.
