👉 Rear computing, also known as edge computing or distributed computing, refers to the practice of processing data and performing computations closer to where the data is generated or consumed, rather than relying solely on centralized cloud servers. This approach minimizes latency and reduces the bandwidth required to transmit large volumes of data over networks, making it particularly beneficial for real-time applications like autonomous vehicles, smart cities, and industrial automation. By distributing computational tasks across various edge devices—such as smartphones, IoT sensors, and local servers—rear computing enhances efficiency, improves data privacy, and ensures more reliable performance in scenarios where immediate processing is critical. This paradigm shift is crucial for the Internet of Things (IoT) and other data-intensive technologies, enabling smarter, faster, and more responsive systems.
