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Attainment of software performance assurances in open, largely unpredictable environments has recently become an important focus for real-time research. Unlike closed embedded systems, many contemporary distributed real-time applications operate in environments where offered load and available resources suffer considerable random fluctuations, thereby complicating the performance assurance problem. Feedback control theory has recently been identified as a promising analytic foundation for controlling performance of such unpredictable, poorly modeled software systems, the same way other engineering disciplines have used this theory for physical process control.
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