首页> 外文期刊>IEEE Transactions on Information Theory >BASIC Codes: Low-Complexity Regenerating Codes for Distributed Storage Systems
【24h】

BASIC Codes: Low-Complexity Regenerating Codes for Distributed Storage Systems

机译:BASIC代码:分布式存储系统的低复杂度重新生成代码

获取原文
获取原文并翻译 | 示例

摘要

In distributed storage systems, regenerating codes can achieve the optimal tradeoff between storage capacity and repair bandwidth. However, a critical drawback of existing regenerating codes, in general, is the high coding and repair complexity, since the coding and repair processes involve expensive multiplication operations in finite field. In this paper, we present a design framework of regenerating codes, which employ binary addition and bitwise cyclic shift as the elemental operations, named BASIC regenerating codes. The proposed BASIC regenerating codes can be regarded as a concatenated code with the outer code being a binary parity-check code, and the inner code being a regenerating code utilizing the binary parity-check code as the alphabet. We show that the proposed functional-repair BASIC regenerating codes can achieve the fundamental tradeoff curve between the storage and repair bandwidth asymptotically of functional-repair regenerating codes with less computational complexity. Furthermore, we demonstrate that the existing exact-repair product-matrix construction of regenerating codes can be modified to exact-repair BASIC product-matrix regenerating codes with much less encoding, repair, and decoding complexity from the theoretical analysis, and with less encoding time, repair time, and decoding time from the implementation results.
机译:在分布式存储系统中,重新生成代码可以在存储容量和修复带宽之间实现最佳平衡。但是,由于编码和修复过程涉及有限域中昂贵的乘法运算,因此,现有的再生代码的主要缺点通常是高的编码和修复复杂性。在本文中,我们提出了一种再生代码的设计框架,该框架采用二进制加法和按位循环移位作为基本运算,称为BASIC再生代码。所提出的BASIC再生码可以看作是级联码,外部码是二进制奇偶校验码,而内部码是利用二进制奇偶校验码作为字母的再生码。我们表明,所提出的功能修复BASIC再生代码可以渐近地实现功能修复再生代码的存储和修复带宽之间的基本折衷曲线,而计算复杂度却更低。此外,我们证明,可以将现有的再生码精确修复乘积矩阵构造修改为精确修复BASIC乘积矩阵再生编码,其理论分析所需的编码,修复和解码复杂度要低得多,并且编码时间较短,修复时间和解码时间(来自实施结果)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号