自相似网络流量的长相关分析方法

Long-range-dependent Analysis Methods of Self-similar Network Traffic

网络流量的长相关性的发现，不仅对传统的流量模型提出了挑战，而且引发了新的长相关性流量模型的研究。文章结合网络流量的研究进展，讨论了现有的几种长相关性流量模型，比较它们各自的优缺点，并预测了未来流量模型的发展方向。

The discovery of LRD of traffic not only challenges the traditional traffic models, but also gives rise to the research of new LRD traffic models. This paper talks about several existing LRD traffic models, points out their advantages and disadvantages, and predicts the developing direction of future traffic research.