B. by placing the computing resources closer to the users.
Edge computing involves moving some computing resources from a central data center or cloud to locations closer to the end users, such as at the edge of a network or in smaller data centers closer to where the data is generated. By reducing the distance that data has to travel, edge computing can help reduce latency, or the time it takes for data to travel from the source to the destination, resulting in faster and more responsive applications for end users. This can be particularly important for applications that require real-time processing, such as augmented reality, autonomous vehicles, and Internet of Things (IoT) devices.