Compared with original algorithms,it is found that the proposed algorithm deals with the real-time path searching problem in large traffic network quickly and effectively with a small computer memory.

Anomaly detection of large scale network based on data streams;

Under the situation of current IDSs have no good performance to meet the large scale network s need.

Based on the discussions, the empirical model of IP flows distribution for large-scale networks is proposed based on the characteristics analysis, whose precision is better than Pareto model, and the complexity is less than double Pareto model.

Based on the former research on IP flows arrival distribution, this paper analyzed the interarrival time distribution and the autocorrelation of IP flows coming from different large-scale networks.

Analysis of BitTorrent flow behavior on large-scale networks;

In large-scale networks,the 1D fast recursion CBP (Call-Blocking Probability) algorithm proposed by Kaufman is unavailable due to the data overflow caused by the calculation of CBP.

An anomaly detection model based on the multi-feature similarity in large-scale network is proposed in this paper.

In this paper, a frame of tourist traffic network planning is proposed for Xia Zhuhu area in Deqing City.

In this paper a basic framework of Benefit Analysis Model of traffic network planning has been made, it is set up in the noncynergetic cognition between the systems and its environment.

The paper analyzes the Traffic structure in the metropolis limits,gives out the principles and basic procedure for its traffic network planning and studies the traffic integration in the metropolis limits.