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.
Pernice, R., Andò, A., Curcio, L., Mangione, S., Stivala, S., Parisi, A., et al. (2014). Statistical analysis of RaptorQ failure probability applied to a data recovery software. In 2014 EURO MED TELCO CONFERENCE (EMTC).
Statistical analysis of RaptorQ failure probability applied to a data recovery software
PERNICE, Riccardo;ANDO', Andrea;CURCIO, Luciano;MANGIONE, Stefano;STIVALA, Salvatore;PARISI, Antonino;GALLO, Pierluigi;CAMPANELLA, Matteo;GARBO, Giovanni;BUSACCA, Alessandro
2014-01-01
Abstract
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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