用户生成无线播客的信誉系统

Liang Hu, Lars Dittmann, J. Boudec
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引用次数: 0

摘要

基于移动机会网络的用户生成播客服务可以在人类移动的同时方便用户生成内容的传播。然而,在这样一个分布式和动态的网络环境中,由于缺乏每个单独节点的全球播客频道流行信息,因此设计高效的内容转发和缓存管理方案具有挑战性。我们在每个节点上设计了一个分布式信誉系统,用于估计全球通道流行度信息,这对转发和缓存管理决策具有重要意义。仿真结果表明,与基于历史的排名方案相比,基于社区的随机路径点(C-RWP)移动模型和本地化渠道人气分布下的声誉系统可以显著提高系统性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reputation system for User Generated wireless podcasting
The user-generated podcasting service over mobile opportunistic networks can facilitate the user generated content dissemination while humans are on the move. However, in such a distributed and dynamic network environment, the design of efficient content forwarding and cache management schemes are challenging due to the lack of global podcast channel popularity information at each individual node. We design a distributed reputation system at each node for estimating the global channel popularity information which is significant for forwarding and cache management decision. Our simulation result shows that, compare to history-based rank scheme, our reputation system can significantly improve system performance under community-based random way-point (C-RWP) mobility model and localized channel popularity distribution.
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