分散式电子商务中服务广告转发的谣言传播模型

Dalu Zhang, Fang Gao, Zhe Yang
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引用次数: 1

摘要

sopinode采用P2P基础架构实现去中心化的电子商务应用。服务广告转发在sopinode中是一个有趣的话题。讨论了服务发现系统的速度、范围和开销特征,并提出了一种谣言传播模型来改进这些特征。我们尽量模拟人类生活中的谣言传播过程,避免不必要的重复广告开销。采用了转发概率和转发权两个关键概念。前者与服务广告知名度成反比;因此,流行的广告被过滤,而罕见的广告被广泛传播。后者用于在转发广告时确定下一跳。仿真结果表明,采用谣言传播模型后,服务查询的速度和范围特征得到了提高,开销特征保持稳定
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A rumor-spreading model of service advertisement forwarding in decentralized e-commerce
SophiNode uses P2P infrastructure to realize a decentralized e-commerce application. And service advertisement forwarding is an interesting topic in SophiNode. We discuss speed, scope and overhead feature of a service discovery system, and put forward a rumor-spreading model to improve these features. We try to simulate rumor-spreading process of human life, and avoid unnecessary duplicated advertisement overhead. Two key concepts are adopted: forwarding probability and forwarding weight. The former is in inverse proportion with service advertisement popularity; so that popular advertisements are filtered while rare advertisements are wildly spread. The later helps to determine the next hop when forwarding an advertisement. Our simulation shows that after rumor-spreading model is adopted, speed and scope feature of service query is improved while overhead feature keeps steady
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