arrow
返回

Repairable Fountain Codes

delete2014-05-01
delete26
delete
OA
AI
M
Megasthenis Asteris *
A
Alexandros G. Dimakis
DOI:10.1109/JSAC.2014.140522delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
We introduce a new family of Fountain codes that are systematic and also have sparse parities. Given an input of k symbols, our codes produce an unbounded number of output symbols, generating each parity independently by linearly combining a logarithmic number of randomly selected input symbols. The construction guarantees that for any epsilon > 0 accessing a random subset of (1 + epsilon) k encoded symbols, asymptotically suffices to recover the k input symbols with high probability. Our codes have the additional benefit of logarithmic locality: a single lost symbol can be repaired by accessing a subset of O(log k) of the remaining encoded symbols. This is a desired property for distributed storage systems where symbols are spread over a network of storage nodes. Beyond recovery upon loss, local reconstruction provides an efficient alternative for reading symbols that cannot be accessed directly. In our code, a logarithmic number of disjoint local groups is associated with each systematic symbol, allowing multiple parallel reads. Our main mathematical contribution involves analyzing the rank of sparse random matrices with specific structure over finite fields. We rely on establishing that a new family of sparse random bipartite graphs have perfect matchings with high probability.
Keyword:
Systematic Fountain code
Logarithmic locality
Availability

期刊

IEEE Journal on Selected Areas in Communications 封面图
IEEE Journal on Selected Areas in Communications
IF:
17.2
论文数:
6.4K
被引数:
3.1W

机构

U
university of texas system
学者数:
18.5W
论文数: 15.6W
被引数: 210
引用论文

引用论文

err分享
err收藏
Trace analysis of nitrosated foodstuffs for nitrosamides
err1991-01-01
err0
PREAI
errP. Mende; B. Spiegelhalder; R. Preussmann
err分享
err收藏
A New Audiometer
err2009-07-08
err0
PREAI
errGeorg v. Békésy
err分享
err收藏
The Tail at Scale在规模的尾巴
err2013-02-01
err1.2K
PREAI
errDean, Jeffrey; Barroso, Luiz Andre
err分享
err收藏
err分享
err收藏
学者 查看更多内容