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arXiv 1606.09463cs.ITmath.IT
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具有改进更新复杂度的最优局部可修码

Optimal Locally Repairable Codes with Improved Update Complexity

Mehrtash Mehrabi, Mostafa Shahabinejad, Masoud Ardakani, Majid Khabbazian

摘要:

对于系统纠删码,更新复杂度(UC)被定义为当某些信息块被更新时需要改变的奇偶校验块的最大数目。局部可修码(LRC)最近被提出并应用于实际的分布式存储系统中。本文研究了最优LRC码的更新复杂度,并根据码的长度(n)、维数(k)、最小距离(d)和局部性(r)给出了UC的上、下界,当(r+1)|n.此外,提出了一类具有小UC的最优LRC。我们提出的LRC可能会引起人们的兴趣,因为它们在不牺牲代码最优性的情况下提高了UC。

英文摘要:

For a systematic erasure code, update complexity (UC) is defined as the maximum number of parity blocks needed to be changed when some information blocks are updated. Locally repairable codes (LRCs) have been recently proposed and used in real-world distributed storage systems. In this paper, update complexity for optimal LRC is studied and both lower and upper bounds on UC are established in terms of length (n), dimension (k), minimum distance (d), and locality (r) of the code, when (r+1)|n. Furthermore, a class of optimal LRCs with small UC is proposed. Our proposed LRCs could be of interest as they improve UC without sacrificing optimality of the code.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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