On the nature and impact of self-similarity in real-time systems
Real-Time Systems
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Soft real-time systems sometimes operate under uncertain and unpredictable environmental conditions which makes event arrival times unreliable and variable. Input to such systems also change from time to time making event processing times variable. Due to such variations, traditional techniques using worst case times to estimate system performance deviate far from actual expected behavior.This paper presents a Method of Stages based Analysis of soft Real Time systems (MoSART). MoSART takes into account variance in both the arrival and execution time and can model the performance of different scheduling algorithms. Sensitivity analysis, experimental validation, and the discovery of state dependent algorithms that outperform popular algorithms are demonstrated.