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LT codes and digital fountain techniques have received significant attention from both academics and industry in the past few years. There have also been extensive interests in applying LT code techniques to distributed storage systems such as cloud data storage in recent years. However, Plank and Thomason's experimental results show that LDPC code performs well only asymptotically when the number of data fragments increases and it has the worst performance for small number of data fragments (e.g., less than 100). In their INFOCOM 2012 paper, Cao, Yu, Yang, Lou, and Hou proposed to use exhaustive search approach to find a deterministic LT code that could be used to decode the original data content correctly in distributed storage systems. However, by Plank and Thomason's experimental results, it is not clear whether the exhaustive search approach will work efficiently or even correctly. This paper carries out the theoretical analysis on the feasibility and performance issues for applying LT codes to distributed storage systems. By employing the underlying ideas of efficient Belief Propagation (BP) decoding process in LT codes, this paper introduces two classes of codes called flat

Author

Wang, Yongge

Published

2012

Language

EN