基于流量预测的节能网络自适应资源配置

Chankyun Lee, Junhyuk Kim, Yoontae Kim, J. Rhee
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引用次数: 1

摘要

研究了一种能显著降低能耗的多车道睡眠/唤醒链路的流量预测模型。研究了Box-Jenkins ARIMA预测模型,并将其应用于交通预测。研究了无损网络预测保密区间、节能性能、缓冲区大小要求之间的关系。
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Adaptive resource provisioning using traffic forecasting for energy efficient networks
A traffic forecast model for a multilane sleep/wake link is investigated where energy consumption can be significantly reduced. A Box-Jenkins ARIMA forecast model is investigated and applied for traffic forecast. The relations among forecasting confidential interval, energy saving performance, buffer size requirement for lossless network are investigated.
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