A Two-Layer Hidden Markov Model for the Arrival Process of Web Traffic
Yi Xie, Shun‐Zheng Yu, Shensheng Tang, Xiangnong Huang · 2011
A new two-layer hidden Markov model is proposed to describe the arrival rate process of Web traffic. The macro state process of the first underlying layer is used to describe the large-scale trends of network traffic. The sub-state process of the second underlying layer is used to describe the small-scale fluctuations that are happening during the duration of a given macro state. Experiments are implemented to validate the proposed model.