An optimal point in scheduling real-time tasks process based on fault tolerant imprecise computation model

Fault tolerance is an important issue due to the critical nature of the supported tasks of real-time computer systems, since timing constraints must not be violated. The imprecise computation technique has been proposed as a way to handle transient overload and to enhance fault tolerant of real-time systems. This paper introduces an exact theoretical analysis for the imprecise computation model based on three principles of maximize reward-based test, minimize response-time test, and minimize errors test, then finds optimal-point in scheduling process to satisfy three scheduling conditions. Further this is also demonstrated by the simulation results.