Edge computing is distributed computing that moves processing and storage closer to the data source
Low latency benefits are especially needed from edge computing for Internet of Things devices, automated cars, and augmented reality/virtual reality (AR/VR) systems
Edge computing speeds up data processing and analysis at the origin, reducing cloud data transfer time
In contrast to cloud computing infrastructure, edge computing devices frequently possess lower processing and storage capacities
Implementing edge computing can be more difficult than using traditional cloud computing techniques
Deploying processing and storage resources across multiple locations is required by edge computing, which can be more expensive to set up and maintain
Data is processed at the network edge, near the device that generated it