Explore the "Small world phenomena" in pure P2P information sharing systems

Yi Ren, Chaofeng Sha, Weining Qian, Aoying Zhou, B. Ooi, K. Tan
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引用次数: 17

Abstract

Pure Peer-to-peer architecture is becoming an important model for information sharing among dynamic groups of users with its low cost of entry and its natural model for resource scaling with the community size. Recent studies on several pure P2P information-sharing systems have posed new questions and challenges in this area. By identifying two key factors in such an environment, we propose a new heuristic search algorithm to make better use of the "small world phenomena" among the peers in order to find the "six degrees of separation" more efficiently. We show by experiment that our heuristic algorithm out-performs the traditional BFS algorithm with an over 10% performance-increase when querying related information, and a 20% increase when a shift of interest lakes place. The heuristic algorithm also has a better control over the number of node-to-visit using our Node-Count feature than the existing TTL mechanism.
探讨纯P2P信息共享系统中的“小世界现象”
纯点对点架构以其低廉的进入成本和随社区规模自然扩展的资源模型,正成为动态用户群体间信息共享的重要模式。最近对几个纯P2P信息共享系统的研究对这一领域提出了新的问题和挑战。通过识别这种环境中的两个关键因素,我们提出了一种新的启发式搜索算法,以更好地利用同伴之间的“小世界现象”,从而更有效地找到“六度分离”。实验表明,我们的启发式算法在查询相关信息时性能优于传统的BFS算法,性能提高了10%以上,当兴趣湖发生移位时性能提高了20%。启发式算法还使用我们的Node-Count特性,比现有的TTL机制更好地控制要访问的节点数量。
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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