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Study of a linear coding enhanced swarm network

机译:线性编码增强群网络的研究

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The present paper explores the behavior of a swarm network that relies on random linear codes to improve the content distribution to all the clients. The swarm implementation is simplified with respect to other known implementations (e.g. BitTorrent) by discarding the coordination mechanism between the peers, relying only on the linear encoding to still provide an efficient content dissemination inside the swarm. Two approaches are explored, one applies the linear coding only at the sources, while the second relies on network coding. The performances provided are assessed in several significant scenarios, by simulations in OMNET++, considering the average download time as the main metric, other metrics being also taken into consideration. The results show that the first approach is not viable, while the one based on network coding allows an efficient data dissemination inside the swarm, for various underlying network topologies. The second approach is simulated using also topologies which favor certain groups of clients due to clustering. The results show that the entire swarm network is positively influenced in such cases.
机译:本文探讨了依赖于随机线性代码来改善内容分发给所有客户端的群体网络的行为。通过丢弃对等点之间的协调机制,仅依赖于线性编码来仍然在群体内部提供有效的内容分发,相对于其他已知的实现方式(例如,BitTorrent)简化了群体实现方式。探索了两种方法,一种方法仅在源处应用线性编码,而第二种方法依赖于网络编码。通过在OMNET ++中进行仿真,将平均下载时间作为主要指标,并在考虑其他指标的情况下,在几种重要的情况下对提供的性能进行了评估。结果表明,第一种方法不可行,而基于网络编码的方法则可针对各种底层网络拓扑在群集内部进行有效的数据分发。第二种方法也使用拓扑进行模拟,该拓扑由于群集而倾向于某些客户端组。结果表明,在这种情况下,整个群体网络受到积极影响。

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