Abstract
This paper evaluates the performance of Reduction to Uniprocessor Transformation (RUNT) with Voltage and Frequency Scaling, called Static RUNT (S-RUNT) and Dynamic RUNT (D-RUNT), respectively. Simulation results show that how to assign tasks to servers in RUNT influences energy consumption and the worst-fit heuristic is the best in many cases. In addition, the idle task assignment policy saves more energy consumption in D-RUNT and D-RUNT outperforms S-RUNT if the actual case execution time of each task is shorter than its worst case execution time.
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