👉 Arrested computing, also known as "computing in place" or "in-situ computing," refers to the practice of performing data processing and analysis directly on or near the source of the data, rather than transmitting it to a distant computing facility. This approach minimizes data transfer latency and bandwidth usage, making it particularly valuable for real-time applications where immediate results are crucial. By processing data locally, systems can reduce the load on central servers, enhance privacy by keeping sensitive information within its original location, and improve overall efficiency. This method is widely used in scenarios such as remote sensing, industrial IoT, and edge computing environments where quick decision-making is essential.
