👉 The second computing paradigm, often referred to as "edge computing," involves processing data closer to where it is generated or consumed, rather than relying on centralized cloud servers. This approach reduces latency, enhances real-time processing capabilities, and conserves bandwidth by minimizing the need to transmit large volumes of data over long distances. Edge computing is particularly beneficial for applications requiring immediate responses, such as autonomous vehicles, smart cities, and industrial automation, where quick decision-making is critical. By decentralizing data processing, edge computing also improves privacy and security by keeping sensitive information closer to its source.
