Real-time computing
(also real-time processing, RTC)
Real-time computing definition
Real-time computing refers to a computing system category that processes information and reacts to input within a particular time constraint, frequently measured in milliseconds. These systems are engineered to manage tasks with time sensitivity and play a crucial role in applications that demand prompt responses. Real-time computing is categorized into two types: hard real-time computing, where missing deadlines may lead to disastrous outcomes, and soft real-time computing, in which infrequent deadline lapses are acceptable.
Real-time computing examples
- Air traffic control systems: They rely on real-time computing to manage aircraft movements and ensure safe travel by providing timely updates on flight data and weather conditions.
- Industrial automation: Real-time computing is used in controlling and monitoring industrial processes, such as assembly lines or chemical plants, to maintain efficiency and safety.
- Online gaming: Multiplayer online games rely on real-time computing to deliver smooth gameplay and synchronize actions between players.
Real-time computing vs. non-real-time computing
Real-time computing systems prioritize time-sensitive tasks and aim to complete them within a predetermined time frame, while non-real-time systems do not have such constraints. In non-real-time systems, tasks may be executed in any order, and response times may vary, making them unsuitable for time-critical applications.
Advantages of real-time computing
- Improved efficiency: Real-time systems can handle high data throughput and provide timely responses, increasing the efficiency of time-sensitive applications.
- Enhanced safety: In safety-critical applications like air traffic control, real-time computing can prevent accidents by ensuring timely responses to changing conditions.
Tips for achieving real-time computing
- Use a real-time operating system (RTOS) designed to handle real-time tasks and manage system resources efficiently.
- Optimize hardware and software components to reduce latency and improve response times.