Title :
Statistical analysis of RaptorQ failure probability applied to a data recovery software
Author :
Pernice, R. ; Ando, A. ; Curcio, L. ; Mangione, S. ; Stivala, S. ; Parisi, A. ; Gallo, P. ; Campanella, Mario ; Garbo, G. ; Busacca, A.C.
Author_Institution :
Dept. of Energy, Inf. Eng. & Math. models (DEIM), Univ. of Palermo, Palermo, Italy
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.
Keywords :
Galois fields; Poisson distribution; failure analysis; security of data; statistical analysis; Galois Field GF(256); Poisson distribution; RaptorQ codes; RaptorQ failure probability; data loss recovery; data recovery software; network conditions; random linear fountain code; rateless codes; statistical analysis; Decoding; Encoding; Receivers; Reliability; Software; Statistical distributions; RaptorQ codes; failure probability; rateless codes; statistical analysis;
Conference_Titel :
Euro Med Telco Conference (EMTC), 2014
Conference_Location :
Naples
Print_ISBN :
978-8-8872-3721-4
DOI :
10.1109/EMTC.2014.6996641
