摘要
针对校园网流量自相似特性的问题,以网络中心测得的实际网络数据为研究对象,对不同时间尺度内的分组到达数目进行研究。利用方差-时间曲线和R/S图方法对实际流量数据进行测量、分析和预测,证实校园网流量具有典型的自相似性。
Aiming at the problem of self-similarity of school network traffic, this paper studies the arrival packets in different time scales on the basis of the measured data by the Network Centre of College. Variance-time and R/S technology are applied to measure, analyze and predict the actual traffic data, and thus the typical self-similarity of the campus network traffic is prored.
出处
《安阳师范学院学报》
2006年第5期41-44,共4页
Journal of Anyang Normal University
关键词
网络流量
自相似性
流量测量
HURST参数
network traffic, self-similarity （Self-comparability）, streaming measure, Hurst Parameter
