In recent years, because the number of the computers in the Internet has been increasing, it is important for network accounting, network safe management and network flow measurement to see the behavior of the activat...In recent years, because the number of the computers in the Internet has been increasing, it is important for network accounting, network safe management and network flow measurement to see the behavior of the activated IP flow. In the paper, we research almost 30TB traffic trace that all traffic entered into and removed from the CERNET Eastern China (north) regional network in Feb. 2001. And we analyze the active degree of IP in the regional network. The research result indicate that the statistics of in-IP flow, out-IP flow and IP flow are heavytailed and the ratio of in-IP flow and out-IP flow have the character of log-normal distribution. According to these characters, we make the model of pareto distribution and log-normal distribution and propose the way that evaluate these distribution models.展开更多
Top-k ranking of websites according to traffic volume is important for Internet Service Providers(ISPs) to understand network status and optimize network resources. However, the ranking result always has a big deviati...Top-k ranking of websites according to traffic volume is important for Internet Service Providers(ISPs) to understand network status and optimize network resources. However, the ranking result always has a big deviation with actual rank for the existence of unknown web traffic, which cannot be identified accurately under current techniques. In this paper, we introduce a novel method to approximate the actual rank. This method associates unknown web traffic with websites according to statistical probabilities. Then, we construct a probabilistic top-k query model to rank websites. We conduct several experiments by using real HTTP traffic traces collected from a commercial ISP covering an entire city in northern China. Experimental results show that the proposed techniques can reduce the deviation existing between the ground truth and the ranking results vastly. In addition, we find that the websites providing video service have higher ratio of unknown IP as well as higher ratio of unknown traffic than the websites providing text web page service. Specifically, we find that the top-3 video websites have more than 90% of unknown web traffic. All these findings are helpful for ISPs understanding network status and deploying Content Distributed Network(CDN).展开更多
文摘In recent years, because the number of the computers in the Internet has been increasing, it is important for network accounting, network safe management and network flow measurement to see the behavior of the activated IP flow. In the paper, we research almost 30TB traffic trace that all traffic entered into and removed from the CERNET Eastern China (north) regional network in Feb. 2001. And we analyze the active degree of IP in the regional network. The research result indicate that the statistics of in-IP flow, out-IP flow and IP flow are heavytailed and the ratio of in-IP flow and out-IP flow have the character of log-normal distribution. According to these characters, we make the model of pareto distribution and log-normal distribution and propose the way that evaluate these distribution models.
基金supported by 111 Project of China under Grant No.B08004
文摘Top-k ranking of websites according to traffic volume is important for Internet Service Providers(ISPs) to understand network status and optimize network resources. However, the ranking result always has a big deviation with actual rank for the existence of unknown web traffic, which cannot be identified accurately under current techniques. In this paper, we introduce a novel method to approximate the actual rank. This method associates unknown web traffic with websites according to statistical probabilities. Then, we construct a probabilistic top-k query model to rank websites. We conduct several experiments by using real HTTP traffic traces collected from a commercial ISP covering an entire city in northern China. Experimental results show that the proposed techniques can reduce the deviation existing between the ground truth and the ranking results vastly. In addition, we find that the websites providing video service have higher ratio of unknown IP as well as higher ratio of unknown traffic than the websites providing text web page service. Specifically, we find that the top-3 video websites have more than 90% of unknown web traffic. All these findings are helpful for ISPs understanding network status and deploying Content Distributed Network(CDN).
