👉 Raised computing, also known as edge computing or distributed computing, refers to the practice of processing data closer to where it is generated or consumed, rather than relying solely on centralized cloud servers. This approach involves deploying computing resources, such as servers, storage, and network devices, at the edge of the network, closer to end-users, IoT devices, or data sources. By doing so, raised computing reduces latency, enhances real-time processing capabilities, and improves overall system efficiency. It also helps in managing bandwidth more effectively by minimizing the amount of data that needs to be transmitted to and from distant cloud servers. This paradigm shift is particularly beneficial for applications requiring immediate responses, such as autonomous vehicles, smart cities, and industrial automation, where quick decision-making is crucial.
