Random Walk Search on Concatenated Hop-Limited Trees Embedded into Unstructured P2Ps

S. Shioda, Phouvieng Hieungmany
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Abstract

We propose a random-walk-based file search for unstructured P2P networks. In the proposal, each node keeps two pieces of information, one is the hop-limited routing tables, storing the route information to nodes within a small number (say n) hops from each node. The hop-limited routing table is substantially equivalent to the hop-limited shortest path tree, which is made of nodes within limited hop distance from the root. The other is the file list, which is an index over files kept by nodes within n hops from each node. To find a file, a node first checks its file list. If the requested file is found in the list, the node sends a file request message to the file owner, otherwise, it sends a file-search message to a randomly-selected leaf node on the hop-limited shortest path tree rooted at itself. Numerical examples show that our proposal has much smaller search latency and lower file-search failure ratio than the primitive random-walk-based search, while it wastes much less network bandwidth than network-broadcast-based searches.
嵌入非结构化p2p的连接跳限树的随机行走搜索
我们提出了一种基于随机游动的非结构化P2P网络文件搜索方法。在该方案中,每个节点保留两条信息,一条是跳数限制的路由表,将路由信息存储到每个节点的小跳数(例如n)内的节点。跳数限制路由表实质上相当于跳数限制的最短路径树,它是由距离根有限跳数距离内的节点组成的。另一种是文件列表,它是对每个节点n跳内的节点保存的文件的索引。要查找文件,节点首先检查它的文件列表。如果在列表中找到请求的文件,则该节点向文件所有者发送文件请求消息,否则,它将向以自身为根的受限跳数最短路径树上随机选择的叶子节点发送文件搜索消息。数值算例表明,与原始的基于随机游动的搜索相比,该方法具有更小的搜索延迟和更低的文件搜索失败率,并且比基于网络广播的搜索浪费更少的网络带宽。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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