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This paper introduces PRM (Probabilistic Resilient Multicast): a multicast data recovery scheme that improves data delivery ratios while maintaining low end-to-end latencies. PRM has both a proactive and a reactive components; this paper describes how PRM can be used to improve the performance of application-layer multicast protocols, especially when there are high packet losses and host failures. Through detailed analysis in this paper, the authors show that this loss recovery technique has efficient scaling properties - the overheads at each overlay node asymptotically decrease to zero with increasing group sizes.
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