Energy aware network operations
INFOCOM'09 Proceedings of the 28th IEEE international conference on Computer Communications Workshops
Green networking for major components of information communication technology systems
EURASIP Journal on Wireless Communications and Networking
Reducing power consumption in backbone networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Saving energy in IP-over-WDM networks by switching off line cards in low-demand scenarios
ONDM'10 Proceedings of the 14th conference on Optical network design and modeling
Small-time scale network traffic prediction based on flexible neural tree
Applied Soft Computing
Real-time network traffic prediction based on a multiscale decomposition
ICN'05 Proceedings of the 4th international conference on Networking - Volume Part I
A frequency adjustment architecture for energy efficient router
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
A High-Grained Traffic Prediction for Microseconds Power Control in Energy-Aware Routers
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
Improving Latency in Traffic Prediction Based Energy-Aware Routers
GREENTECH '13 Proceedings of the 2013 IEEE Green Technologies Conference
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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.