基于興趣分組的混合P2P網(wǎng)絡(luò)研究
[Abstract]:With the development of network diversification, peer-to-peer network (P2P) emerges and develops rapidly as a new type of network. Peers in distributed P2P network have equal status and can interact with each other directly. The performance of the whole network is theoretically the sum of all the nodes'performance, which is relative to the traditional centralization. With the increase of the scale of P2P network and the number of users, the application fields of P2P technology are more and more extensive, and the amount of information in the whole environment is also increasing rapidly. It is more and more difficult for users to search, locate and obtain resources in P2P network. A good search technology can not only effectively improve routing efficiency, increase the hit rate of search, but also shorten the search scope according to the interest distribution of resources, save the search time of users and improve work efficiency. Value.
Nowadays, the research on P2P search technology is mostly about relational structured P2P networks. Therefore, based on previous research, this paper proposes a hybrid P2P network IGTAP (Int erest-Group Tapestry model) based on interest grouping. It introduces the concept of grouping into the network based on the theory of Small World and takes the interest of nodes as its basis. As the basis of grouping, the whole P2P network is divided into different interest groups. At the same time, the concept of hierarchy is introduced. Tapestry is used as the underlying topology structure, and Tapestry layer is divided into different interest groups. The nodes join different interest groups according to their own interest. The interest distance between the nodes in interest groups is calculated according to the interest similarity. The tree structure of the second layer is a multi-tree extending from the neighborhood mapping table. Each interest group has a multi-tree and each node can only join one interest group. Cable occurs when the group search fails or the resources to be searched are not in the group. Buffer pool strategy is introduced to solve the waste of network resources caused by searching the same resources in a short time.
Finally, through the network analysis and simulation experiments, the results show that the proposed scheme effectively improves the query success rate, shortens the number of routing hops, and improves the search accuracy.
【學(xué)位授予單位】:大連交通大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TP393.02
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