An organization method for tree network of control stream in the stream media living broadcast system

Abstract

The invention relates to a tree network organic method of control flow in flow media direct-broadcast system. Wherein, it comprises that (1) starting protecting process; (2), detecting the network interface, waiting to receive the request pack from other nodes; (3), judging the type of request pack, to add or leave the node, redirecting the request; (4), based on received jump pack, refreshing the sub node of local node. The invention uses the double-layer topology structure with separated control flow and data flow; the control tree optimizes the network nearby nodes; the mesh logic cover network exchanges data, to supply the demand of P2P online flow media; the control tree uses the node group method based on GUID; based on the position each node, it generates GUID, to organize the nearby nodes in logic layer. The invention can reduce network flux, reduce load and improve the service quality.

Description

technical field [0001] The invention belongs to the field of peer-to-peer streaming media, and in particular relates to a tree-shaped network organization method for controlling flow in a streaming media live broadcast system. Background technique [0002] In recent years, with the traditional client / server model and browser / server model, with the further development of distributed technology and network technology and the increasing scale of Internet users, the server has gradually become the bottleneck of system performance. Due to its self-organization and non-centralization characteristics, peer-to-peer computing technology can better solve these shortcomings of the above-mentioned model. In a peer-to-peer computing network, a node acts as a client and a server at the same time. It not only provides services for other nodes, but also enjoys the services of other nodes. Wide range of applications. [0003] In the current streaming media live broadcast system based on pe...

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Problems solved by technology

In the study of network proximity, it mainly focuses on the optimization of DHT (Miguel Castro1, Peter Druschel2, Y.Charlie Hu3 and Antony Rowstronl, Proximityneighbor selection in tree-based structured peer-to-peer overlays, Technical Report, MSR-TR-2003- 52) and file sharing optimization for network structures (YunhaoLiu, Xiaomei Liu, Li Xiao, Lionel M Ni, and Xiaodong Zhang. Location-Aware topology matching in P2P systems. In: Proc. of the IEEE INFOCOM 2004. Hong Kong, 2004. ), the first type is difficult to exchange media data between adjacent nodes in the network due to its strong structure

The main idea of ​​the second category is to constantly exchange RTT information between each node for dynamic optimization, but this method is not suitable for streaming media live broadcasting, because the P2P streaming media live broadcasting Artificially allowing nodes to join and leave will increase system turbulence and instability, affecting system performance

In addition, because the P2P streaming media system naturally requires a mesh-based construction method (which can avoid single point failure), the control flow of most P2P streaming media systems also adopts a mesh structure, which is not suitable for the second method mentioned above. optimization method, so it is difficult to solve inherent problems such as node clustering and message redundancy

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