Network coding for resilient peer-to-peer networks

D. Hu, Morris M. Z. Wang, F. Lau, Q. Peng
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Abstract

Peer dynamics (departure or failure) in peer-to-peer (P2P) networks disrupts the downloading process to the peers. Previous works on fault resilience include peer selection and overlay topology organization. Random network coding based on the generation concept is a practical approach to implement network coding for data networks in general. If we model the generations as blocks distributed by a seed in a P2P network and the disruptions caused by peer dynamics as packet losses, random network coding can be applied in P2P networks. In this paper, we propose a network coding scheme using a concept we call generation crossing. We also introduce a full cardinality precode, which enables a peer to reconstruct the original data file when only a subset of data blocks is received. We show that the success rate for the whole file to be delivered to peers increases remarkably with a small number of overlapped packets between successive generations. Computer simulations based on time-parametrized graph are presented. Simulation results confirm that network coding and generation crossing can provide resilience to peer dynamics in a P2P network.
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弹性对等网络的网络编码
点对点(P2P)网络中的对等动态(离开或失败)会破坏对对等网络的下载过程。以往关于故障恢复的研究包括对等体选择和覆盖拓扑组织。基于生成概念的随机网络编码是实现一般数据网络网络编码的一种实用方法。如果我们将P2P网络中的代建模为由种子分布的块,将对等体动态引起的中断建模为丢包,则可以将随机网络编码应用于P2P网络。在本文中,我们提出了一种网络编码方案,使用我们称之为“代交叉”的概念。我们还引入了一个全基数预码,它允许对等方在只接收到数据块的子集时重构原始数据文件。结果表明,当连续几代之间存在少量重叠数据包时,整个文件传递到对等体的成功率显著提高。提出了基于时间参数化图的计算机仿真方法。仿真结果表明,在P2P网络中,网络编码和生成交叉能够提供对对等体动态的弹性。
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