Load Prediction in Communications Network
The prediction of load in communications networks provides a scientific basis for conserving power that is currently attracting considerable interest. This paper reports the results of experiments to predict communications network load using real network data. The problem considered is simply to predict whether load is generally increasing, decreasing or unchanged in the immediate future. Various linear and non-linear predictive models were investigated. We conclude that the most efficient solution to the problem considered is a subtle combination of a linear regression model and a highly reactive model applied to the data aggregated at two levels of granularity.
load prediction communications networks
Kongluan Lin Simeon Simoff Ante Prodan John Debenham
QCIS UTS,Sydney,Australia CM UWS,Sydney,Australia
国际会议
昆明
英文
250-255
2010-10-17(万方平台首次上网日期,不代表论文的发表时间)