Self-similar nature of the internet traffic information

Network traffic feature is generally described as self-similarity in a time series of volume counts (e.g. of bytes or packets) view. What is omitted from this view of traffic is the content of packets. In this paper, we find the self-similarity also exists in traffic information through long-time statistics of the internet traffic data, coupled with a discussion of the underlying mathematical and statistical properties of self-similarity and their relationship with actual network behavior. The goal of our paper is to open doors to: 1) further study properties of the packet information; 2) new traffic models and applications considering both volume and information.