Network Time-Delay Prediction Based on Non-gaussian FARIMA Model

摘要：

　　Large time delay often occurs unexpectedly in data transmission via Internet.As a kind of typical non-Gaussian stochastic process cannot be described by traditional prediction models with Gaussian innovation.In this paper,FARIMA model with standard symmetrical α stable distribution is adopted to model the transmission time-delay in Internet,and the method for estimating the model parameters is presented.Numerical results show that the approach proposed in this paper is more accurate than the general FARIMA model with Gaussian innovation in modeling Internet time-delay.

关键词： Symmetrical α stable distribution Burst Delay prediction

作者: Chunyan Hu Yang Song Jie Yang Xiaohua Wang

作者单位: School of Mechatronical Engineering and Automation,Shanghai University,Shanghai,China School of Mechatronical Engineering and Automation,Shanghai University,Shanghai,China;Shanghai Key L

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 541-549

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）