In recent years there are more and more new applications . especially applications involving the reliable transfer of large volumes of data from a source to multiple destinations across wide - area networks are expected to become increasingly important in the near future . a few examples are point - to - multipoint ftp , newsdistributions 近年来,许多新的应用不断产生,其中点对多和多对多的通信应用越来越广泛和重要,如网络视频会议、网络音频/视频广播、股市行情发布、远程教育等,由此容易导致带宽的急剧消耗和网络拥挤等问题。
The downloading nodes act not only as clients of the crl distribution node , but also as server for other downloading nodes , uploading locally downloaded packages . in this peer - to - peer way , the traditional one - to - many crl distribution scheme is changed into many - to - many , and crl distribution performance is improved 与传统方式的不同在于, crl下载节点不仅仅从数据发布节点中下载crl ,而且同时也向其它下载节点提供已下载的crl数据,将以往的一对多的crl分发模式改变为多对多的模式。
Because the many to many structure in double auction market is fit for the transaction among many buyers and sellers on internet especially , and the famous “ smith ’ s mystery ” opened out the characteristics of double auction : even with insufficient information of supply and demand and a small number of traders , the double auction can achieve very high market efficiency and converge rapidly to a competitive equilibrium price 由于双向拍卖“多对多”的市场结构,特别适合于网络环境下有众多买卖参与者的交易,而著名的“ smith奥秘”揭示出双向拍卖的特性:即使在买卖双方人数都很少、供求信息不充分的情况下,双向拍卖市场都能迅速收敛到竞争均衡的附近。
Based on other research , the author pays his main attention to the feature of associative memory for chaotic neural network and researches ' on the following three aspects : i ) research on the parameter effecting on associative memory properties . ii ) research on the structure effecting on many - to - many associative memory properties . iii ) research on the successive learning ability 在他人研究基础上，本论文深入探讨了混沌神经网络的联想记忆特性，着重研究了以下三个方面： ( 1 )网络参数对联想记忆特性的影响； ( 2 )网络结构对多对多联想的影响； ( 3 )混沌神经网络的连续学习能力。
Second , we analyze construction of streaming media and limited - relation inner streaming media data and its time - space feature expressing . at last , we analyze the system synchronizations and give the corresponding synchronize arithmetic and control strategy to inner streaming and between streaming and the groups . and we deduce the minimum of memory for every receiver and the starting time offset of the first ldu of every code streaming playing in every receiver and the concrete method for judgment whether realize the group synchronization 论文首先介绍了流媒体技术与流媒体同步目前的发展状况以及流媒体传输协议，接着分析了流媒体数据内部约束关系及流媒体数据的构成，探讨了流媒体数据时域特征表示，然后对该多对多流媒体系统的流内、流间及组同步问题分别进行分析研究，推导出接收端各信宿的缓存器所要具有的最小容量、各码流的第1个ldu在接收端各信宿起始播放时刻的偏移量以及组同步与否的具体判断方法，对多对多流媒体系统的流内、流间及组同步分别设计出各自的同步算法及控制策略。
