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相关论文: Bidirectional Piggybacking Design for Systematic N…

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Piggybacking design has been widely applied in distributed storage systems since it can greatly reduce the repair bandwidth with small sub-packetization. Compared with other existing erasure codes, piggybacking is more convenient to operate…

信息论 · 计算机科学 2022-09-01 Ke Wang , Zhifang Zhang

As a special class of array codes, $(n,k,m)$ piggybacking codes are MDS codes (i.e., any $k$ out of $n$ nodes can retrieve all data symbols) that can achieve low repair bandwidth for single-node failure with low sub-packetization $m$. In…

信息论 · 计算机科学 2022-09-21 Hao Shi , Zhengyi Jiang , Zhongyi Huang , Bo Bai , Hanxu Hou

Piggybacking codes are a special class of MDS array codes that can achieve small repair bandwidth with small sub-packetization by first creating some instances of an $(n,k)$ MDS code, such as a Reed-Solomon (RS) code, and then designing the…

信息论 · 计算机科学 2022-05-31 Zhengyi Jiang , Hanxu Hou , Yunghsiang S. Han , Patrick P. C. Lee , Bo Bai , Zhongyi Huang

Piggybacking is an efficient method to decrease the repair bandwidth of Maximum Distance Separable (MDS) codes or Minimum Storage Regenerating (MSR) codes. In this paper, for minimizing the repair bandwidth of parity nodes of the known MSR…

信息论 · 计算机科学 2014-08-26 Bin Yang , Xiaohu Tang , Jie Li

Efficient node repair is a central requirement in distributed storage systems, particularly in high-rate erasure-coded deployments where repair traffic directly affects network overhead and recovery cost. Piggybacking codes reduce the…

信息论 · 计算机科学 2026-05-06 Hao Shi , Zhengyi Jiang , Gefeng Deng , Zhongyi Huang , Hanxu Hou

Distributed storage codes have important applications in the design of modern storage systems. In a distributed storage system, every storage node has a probability to fail and once an individual storage node fails, it must be reconstructed…

信息论 · 计算机科学 2016-10-27 Chong Shangguan , Gennian Ge

This paper addresses the problem of constructing MDS codes that enable exact repair of each code block with small repair bandwidth, which refers to the total amount of information flow from the remaining code blocks during the repair…

信息论 · 计算机科学 2017-09-26 Ankit Singh Rawat , Itzhak Tamo , Venkatesan Guruswami , Klim Efremenko

In the literature, all the known high-rate MDS codes with the optimal repair bandwidth possess a significantly large sub-packetization level, which may prevent the codes to be implemented in practical systems. To build MDS codes with small…

信息论 · 计算机科学 2020-11-24 Jie Li , Yi Liu , Xiaohu Tang

The piggybacking framework for designing erasure codes for distributed storage has empirically proven to be very useful, and has been used to design codes with desirable properties, such as low repair bandwidth and complexity. However, the…

信息论 · 计算机科学 2017-07-11 Reyna Hulett , Mary Wootters

We present a new 'piggybacking' framework for designing distributed storage codes that are efficient in data-read and download required during node-repair. We illustrate the power of this framework by constructing classes of explicit codes…

信息论 · 计算机科学 2013-02-26 K. V. Rashmi , Nihar B. Shah , Kannan Ramchandran

We present the construction of a family of erasure correcting codes for distributed storage that achieve low repair bandwidth and complexity at the expense of a lower fault tolerance. The construction is based on two classes of codes, where…

Reed-Solomon (RS) codes are widely used in distributed storage systems. In this paper, we study the repair bandwidth and sub-packetization size of RS codes. The repair bandwidth is defined as the amount of transmitted information from…

信息论 · 计算机科学 2019-03-11 Weiqi Li , Zhiying Wang , Hamid Jafarkhani

This paper generalizes the piggybacking constructions for distributed storage systems by considering various protected instances and piggybacked instances. Analysis demonstrates that the proportion of protected instances determines the…

信息论 · 计算机科学 2017-02-07 Shuai Yuan , Qin Huang , Zulin Wang

Maximum distance separable (MDS) codes facilitate the achievement of elevated levels of fault tolerance in storage systems while incurring minimal redundancy overhead. Reed-Solomon (RS) codes are typical MDS codes with the sub-packetization…

信息论 · 计算机科学 2024-05-07 Hao Shi , Zhengyi Jiang , Zhongyi Huang , Bo Bai , Gong Zhang , Hanxu Hou

In this paper, we present two constructions of degraded read friendly (DRF) MDS array codes with two parity nodes and a sub-packetization level of 2 over small finite fields, applicable for any arbitrary code length. The first construction…

信息论 · 计算机科学 2025-10-28 Jie Li , Xiaohu Tang

Maximum distance separable (MDS) codes are widely used in distributed storage systems as they provide optimal fault tolerance for a given amount of storage overhead. The seminal work of Dimakis~\emph{et al.} first established a lower bound…

信息论 · 计算机科学 2026-03-24 Zihao Zhang , Guodong Li , Sihuang Hu

In a distributed storage system based on erasure coding, an important problem is the \emph{repair problem}: If a node storing a coded piece fails, in order to maintain the same level of reliability, we need to create a new encoded piece and…

信息论 · 计算机科学 2016-11-17 Yunnan Wu

Coding for distributed storage gives rise to a new set of problems in coding theory related to the need of reducing inter-node communication in the system. A large number of recent papers addressed the problem of optimizing the total amount…

信息论 · 计算机科学 2017-06-02 Itzhak Tamo , Min Ye , Alexander Barg

Abundant high-rate (n, k) minimum storage regenerating (MSR) codes have been reported in the literature. However, most of them require contacting all the surviving nodes during a node repair process, resulting in a repair degree of d=n-1.…

信息论 · 计算机科学 2023-05-30 Jie Li , Yi Liu , Xiaohu Tang , Yunghsiang S. Han , Bo Bai , Gong Zhang

An explicit construction of systematic MDS codes, called HashTag+ codes, with arbitrary sub-packetization level for all-node repair is proposed. It is shown that even for small sub-packetization levels, HashTag+ codes achieve the optimal…

信息论 · 计算机科学 2020-02-14 Katina Kralevska , Danilo Gligoroski
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