What is the primary goal of edge computing in relation to data centers?

The primary goal of edge computing is to process data closer to the source to reduce latency. In traditional data center architectures, data is often sent to centralized facilities for processing, which can introduce delays due to the distance data must travel. By moving computation and data processing closer to where the data is generated—such as IoT devices or local edge servers—edge computing significantly minimizes the time it takes to transfer data and receive responses. This is particularly important in applications that require real-time decision-making, such as autonomous vehicles, smart cities, and industrial automation.

The emphasis on reducing latency aligns directly with the demands of modern applications that rely on speed and efficiency, reinforcing the effectiveness of edge computing in enhancing overall system performance and user experiences.