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Real-time computing is sometimes misunderstood to be high-performance computing, but this is not always the case.
For example, a massive supercomputer executing a scientific simulation may offer impressive performance, yet it is not executing a real-time computation.
Conversely, once the hardware and software for an anti-lock braking system has been designed to meet its required deadlines, no further performance gains are obligatory.
Furthermore, if a network server is highly loaded with network traffic, its response time may be slower but will ( in most cases ) still succeed before it times out ( hits its deadline ).
Hence, such a network server would not be considered a real-time system: temporal failures ( delays, time-outs, etc.
) are typically small and compartmentalized ( limited in effect ) but are not catastrophic failures.
In a real-time system, such as the FTSE 100 Index, a slow-down beyond limits would often be considered catastrophic in its application context.
Therefore, the most important requirement of a real-time system is predictability and not performance.

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