摘要
为了解决大数据实时流媒体传输(LRST)的QoS可控机制问题,根据现有的P2P模型,提出了一种新的基于RTCP的P2P树算法模型LrstP2P.该模型依托于RTCP XR协议和最小树深算法,通过三层模型的动态算法,增强了新用户加入网络时对父节点选择的有效性,优化了用户通信过程中由于节点的随机性和网络拓扑的易变性的应对策略,改进了数据传输的稳定性和实时性.通过实验,证实了该算法的优越性.
In order to solve the problem of controllability mechanism of QoS for large-volume real-time streaming medium transport, a new R TCP-based P2P-tree algorithm model LrstP2P was proposed according to the P2P model available. Based on the protocol RTCP XR and by means of dynamic algorithm with three-level model, the availability of the parent node choice strategy was enhanced for the users when they took part in the network, the self-administration aimed at variable network topology and randomness of nodes encountered in communication process of the users was optimized, and the system reliability and service delay were unproved. The advantages of this LrstP2P algorithm were justified by the experiment performed.
出处
《兰州理工大学学报》
CAS
北大核心
2006年第6期107-110,共4页
Journal of Lanzhou University of Technology
