Statistic And Animation For Peer-to-Peer Network Simulation

A large quantity of protocol algorithms about P2P are constantly emerging, which is one of the most important technology receives much concern. The functions and performance of these algorithms need to be tested and verified by experiments. The simulation of P2P network, which only using software, can obtain the performance data of network design and optimization, provide reference to network research in the situation of lack of hardware. However, due to the large volume of data and statistical parameters, a systematic and high efficient statistic analysis of simulation data has become an important problem of network simulation.The thesis firstly introduced the technology background of P2P network, the research status of P2P network simulation, and some problems facing. Secondly this thesis described the requirements of P2P network simulation analysis and the animation of P2P network data transmission. According to these requirements of some P2P algorithms, this thesis defined some data record formats of statistic analysis and animation of P2P network data transmission. Based on those data record, this thesis realized statistic analysis and animation of P2P network data transmission with MATLAB. At last, this thesis took MTN live broadcast algorithm and MTN download algorithm as examples, tested the functions of statistic analysis and animation of P2P network data transmission, obtained all kinds of parameters needed accurately, reproduced the process of P2P network data transmission.Through the test results, this P2P network simulation analysis and the animation of P2P network data transmission system has realized the required function, is able to provide a systematic and high efficient statistic analysis solution to the analysis of P2P protocol algorithms.The result of this thesis can also used in large scale P2P network simulation statistic analysis, and is helpful for the further research of related protocol algorithms.