Which of the following is a benefit of Edge Computing?

Edge Computing is designed to optimize the processing of data by locating it closer to the source of data generation. This proximity allows for reduced latency, meaning that data can be processed and acted upon more quickly than it would in a traditional centralized data processing model. By minimizing the distance that data needs to travel, edge computing can significantly lower the time it takes for information to be transmitted, which is crucial for applications requiring real-time responses, such as autonomous vehicles or IoT devices.

Moreover, by processing data at the edge, there is a decrease in the volume of data that needs to be transmitted over long distances to centralized data centers, effectively reducing bandwidth use. This not only makes the systems more efficient by lowering costs associated with data transmission but also alleviates potential bottlenecks in data traffic, further enhancing overall performance. Thus, one of the primary benefits of Edge Computing is the effective combination of reduced latency and optimized bandwidth utilization, making it a powerful solution for modern computing needs.