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Reliable and fine-grained cost-models are fundamental for real-time systems to statically predict worst-case execution time (WCET) estimates of program code in order to guarantee timeliness. Analogous considerations hold for energy-constrained systems where worst-case energy consumption (WCEC) values are mandatory to ensure meeting predefined energy budgets. These cost models are generally unavailable...
Energy has emerged to be the most important resource for computing systems. Despite the exceptional importance of energy, reducing its demand at application and system level remains a challenging task for programmers and engineers. This is aggravated by the fact that traditional energy-saving approaches are not only error-prone but even lead to adverse consequences (i.e. increased energy consumption)...
The fact that energy is a scarce resource in many embedded real-time systems creates the need for energy-aware task schedulers, which not only guarantee timing constraints but also consider energy consumption. Unfortunately, existing approaches to analyze the worst-case execution time (WCET) of a task usually cannot be directly applied to determine its worst-case energy consumption (WCEC) due to execution...
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