RaptorQ失效概率统计分析应用于某数据恢复软件

2014 Euro Med Telco Conference (EMTC) Pub Date : 2014-12-29 DOI:10.1109/EMTC.2014.6996641

R. Pernice, A. Andò, L. Curcio, S. Mangione, S. Stivala, A. Parisi, P. Gallo, M. Campanella, G. Garbo, A. Busacca

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引用次数: 3

摘要

在这项工作中，我们实现了一个数据恢复软件，集成了最新的无速率代码，即RaptorQ代码。由于上述软件，可以恢复数据丢失发生在几种网络条件下。我们对RaptorQ参数的几种配置下的故障概率进行了统计分析。我们在伽罗瓦场GF(256)上发现了与随机线性喷泉码的理论值很好的一致性。此外，我们已经证明，当发送固定大小的文件时，具有一定数量的解码失败源块的概率遵循泊松分布。

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Statistical analysis of RaptorQ failure probability applied to a data recovery software

In this work, we have implemented a data recovery software integrating the most recent rateless codes, i.e., RaptorQ codes. Thanks to the above-mentioned software, it is possible to recover data loss occurring on several kinds of network conditions. We have performed a statistical analysis of failure probabilities at several configurations of RaptorQ parameters. We have found a good agreement with the theoretical values of a random linear fountain code over Galois Field GF(256). Moreover, we have shown that the probability of having a certain number of failed decoded source blocks - when sending a fixed-size file - follows a Poisson distribution.

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2014 Euro Med Telco Conference (EMTC)

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