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The trend towards ever more powerful and faster processors has led to an enormous increase in power consumption. This paper focuses on scheduling tasks in a heterogeneous environment with DVS enabled processors to minimize both execution time and energy consumed. The proposed algorithm, called Energy-Dynamic Level Scheduling (EDLS), favors low-energy consuming processors by introducing a cost factor that affects scheduling decisions. Our scheme allows for trade offs between energy consumption and the desired performance. Our simulation results exhibit significant power savings at a reasonable increase in overall execution time. Moreover, our results demonstrates a high degree of correlation between the energy saving and the increase in the heterogeneity of processors.