点对点环境下基于广播和DHT的原创搜索模型设计

Ying Gao, Jiang Zhan
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引用次数: 1

摘要

P2P网络中基于关键词的文件检索是一个具有挑战性的问题。本文提出了一种新的解决方案:搜索模型自动识别关键词的频率,并应用基于DHT的倒排索引来获取稀疏的关键词,模型可以在基于关键词检索的情况下判断是采用倒排索引还是广播搜索,在获取频繁的关键词时,模型改进了P2P系统中的广播算法,采用DHT指针来避免重复消息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Original Search Model Based on Broadcast and DHT in Peer to Peer Environment
The file retrieval based on key words in P2P network is a challenging problem. In this paper, we propose a new solution: the search model identifies the frequency of key words automatically and applies inverted index based on DHT to fetch the sparse key words, the model can judge adopting whether inverted index or broadcast search under the condition of basing on key words retrieval, when fetch frequent key words, the model improves the broadcast algorithm in P2P system and adopts pointer of DHT to avoid repetitive messages.
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