本地可恢复流码报文擦除恢复

Vinayak Ramkumar, Myna Vajha, P. V. Kumar
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引用次数: 4

摘要

流码是一类包级擦除码,其设计目的是确保在通信网络上以低延迟的方式恢复被擦除的数据包。众所周知,在流码文献中,对角线嵌入$[{\tau}+1, {\tau}+1-{a}]$最大距离可分离(MDS)码的码字在数据包流中,导致速率最优的流码能够在严格的解码延迟约束${\tau}$下从任意数据包擦除中恢复。因此,MDS代码旨在有效地处理与擦除发生相对应的最坏情况。在本文中,我们增加了对最频繁擦除模式的有效处理的关注。我们研究了流码,除了在解码延迟${\tau}$下从${a}\gt 1$任意数据包擦除中恢复之外,还能够处理更常见的单数据包擦除,同时产生更小的延迟${r}\lt {\tau}$。我们将这些代码称为$({a},{\tau},{r})$本地可恢复流代码(LRSCs),因为我们的单擦除恢复需求类似于编码分布式存储系统中的局部性需求。我们通过提出所有可能参数的速率最优结构来表征LRSC的最大可能速率$\{{a},{\tau},{r}\}$。虽然本文提供的速率最优LRSC结构需要较大的场面积,但其结构是明确的。还表明,我们的(${a},{\tau}={a}({r}+1)-1,{r})$) LRSC结构提供了额外的保证,从${h}, 1\leq {h}\leq {a}$,数据包的擦除中恢复,延迟${h}({r}+1)-1$。因此,随着擦除次数的增加,该结构提供了解码延迟的优雅退化。本文的完整版本可在[1]查阅。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Locally Recoverable Streaming Codes for Packet-Erasure Recovery
Streaming codes are a class of packet-level erasure codes that are designed with the goal of ensuring recovery in low-latency fashion, of erased packets over a communication network. It is well-known in the streaming code literature, that diagonally embedding codewords of a $[{\tau}+1, {\tau}+1-{a}]$ Maximum Distance Separable (MDS) code within the packet stream, leads to rate-optimal streaming codes capable of recovering from a arbitrary packet erasures, under a strict decoding delay constraint ${\tau}$. Thus MDS codes are geared towards the efficient handling of the worst-case scenario corresponding to the occurrence of a erasures. In the present paper, we have an increased focus on the efficient handling of the most-frequent erasure patterns. We study streaming codes which in addition to recovering from ${a}\gt 1$ arbitrary packet erasures under a decoding delay ${\tau}$, have the ability to handle the more common occurrence of a single-packet erasure, while incurring smaller delay ${r}\lt {\tau}$. We term these codes as $({a},{\tau},{r})$ locally recoverable streaming codes (LRSCs), since our single-erasure recovery requirement is similar to the requirement of locality in a coded distributed storage system. We characterize the maximum possible rate of an LRSC by presenting rate-optimal constructions for all possible parameters $\{{a},{\tau},{r}\}$. Although the rate-optimal LRSC construction provided in this paper requires large field size, the construction is explicit. It is also shown that our (${a},{\tau}={a}({r}+1)-1,{r})$ LRSC construction provides the additional guarantee of recovery from the erasure of ${h}, 1\leq {h}\leq {a}$, packets, with delay ${h}({r}+1)-1$. The construction thus offers graceful degradation in decoding delay with increasing number of erasures. A full version of this paper is accessible at [1].
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