In traditional computing architectures, data is typically transmitted over long distances to centralized servers for processing and storage. This can result in latency, or the delay between the time a request is made and the time a response is received.
Edge computing seeks to reduce latency by processing and storing data closer to the source, often using small, low-power devices located at the "edge" of the network. This can enable faster decision-making and real-time responses, as the data does not need to be transmitted over long distances to a central server.
Edge computing is particularly useful in environments where low latency is critical, such as in the Internet of Things (IoT), where many devices are connected to the internet and may generate and transmit large amounts of data.
