A study on micro level traffic prediction for energy-aware routers

For green networking, Sliced Router Architecture was proposed, which controls the power consumption of routers by adjusting the routers' performance on the basis of the volume of traffic. In this architecture, traffic prediction is used for appropriate power control of router. For obtaining the efficient gain of power reduction, we need to consider the impact of overestimation or underestimation. In this paper, we propose a traffic prediction method by considering the impact of overestimate and underestimate on power efficiency and processing performance of Sliced Router Architecture. We evaluate our method by trace-driven simulations with real traffic, we show that our approach can control the power consumption of Sliced Router without significant performance degradation.