Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (2): 126-129.

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Applying Gaussian process based on median filtering in 3G network performance prediction

HUANG Liping, SUN Yongxiong, SHEN Chen   

  1. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Online:2013-01-15 Published:2013-01-16

用基于中值滤波的高斯过程预测3G网络性能

黄丽平,孙永雄,申  晨   

  1. 吉林大学 计算机科学与技术学院,长春 130012

Abstract: Aiming to the need of proactive monitoring and performance prediction in 3G networks, it proposes a prediction method of the Gaussian regression model based on the median filter, integrates the Gaussian regression model with the median filtering method, pretreats the sample data with median filtering, and then the processed data is done to the Gaussian regression prediction, the prediction results are as the prediction curve of the active alarm mechanism. Simulation results show that compared to other prediction algorithms, the Gaussian process based on median filtering predicts more effectively and generates more accurate prediction curves. It provides a theoretical basis for proactive monitoring in 3G and above network to determine an effective threshold.

Key words: median filtering, Gaussian process, 3G network performance prediction, proactive monitoring

摘要: 针对3G网络中主动监控和对性能指标数据进行预测的需要,提出了基于中值滤波的高斯回归模型的网络性能指标预测方法,将高斯回归模型与中值滤波法相融合,对样本空间中的性能指标数据先进行中值滤波预处理,再对处理过的数据进行高斯回归预测,预测结果作为主动告警机制的预测曲线。仿真实验结果表明,相对于其他预测方法,基于中值滤波的高斯过程预测结果更加有效,生成的预测曲线更精确,为3G及以上网络进行主动监控确定更有效的阈值提供理论依据。

关键词: 中值滤波, 高斯过程, 3G网络性能预测, 主动监控