Based P2p Streaming Real-time Transmission And Simulation

In this information age, people require information not only just colorful, lively and specific, but also require the latest, real-time and synchronous. People's desire for the world information has greatly promoted the development of the internet. From text to image and sound, to multimedia, content had became more and more varied, but the large files'transfer needs a lot of time, this make the customers feel dissatisfied. Then streaming media is appear, it don't need people wait until the entire file download on the client computer, it can be played while download. It greatly improves the user experience, and brings more users. However the traditional C/S architecture makes the server down, because so many visitors and they must all download from it, this let the server under great pressure. To solve this problem, researchers thought of using the great amount of unused resources in the clients'computers which access to the system, the so-called P2P way to transfer data. P2P is theoretically unlimited extension, with the accession of customers, system performance, capacity is also increasing. So there are many people begin to research P2P. Many research results have been work out, and many excellent large-scale business applications also appeared, such as PPLive, QQLive, PPStream and other software. However the P2P is still immature, there are still many problems need to be solved.This thesis is for P2P streaming real-time transmission, it analyze the key technologies that impact the transfer. In the aspect of data scheduling, mainly focusing on how to achieve the quick start and full use of service Peers'bandwidth. In dynamic network environment how to achieve adjust dynamically and real-time. Specific works include the following:1.Deeply understand the progresses and reasons of P2P development, and leaned understand the major existing problems of each stages. Understand the structure of P2P network, applications, feather and other basic knowledge, mainly focus on learning the application layer multicast technology.2.Understand the indicators of evaluating real-time streaming media transmission, and analyze several key technologies that impact the real-time transmission, mainly focus on learning technologies in data schedule technology.3.Establish a P2P streaming media real-time transmission model, and give three different data requests environment, using different data schedule assumptions. By simulating the request node's cache status, compare and analyze the content of the require Peer, the use of bandwidth situation in different assumptions with different data schedule policy.4.Due to the analysis of different scenarios with different assumptions, estimates a data schedule policy based on the quality of services proposed and the maximum number of data segment expected. It effectively reduces the play delay, and quickly reach the service Peers'similar maximum capacity.