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相关论文: Asymptotically Optimal Repair of Reed-Solomon Code…

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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

In this paper, we address the node repair problem of Reed-Solomon (RS) coded distributed storage systems. Specifically, to overcome the challenges of multiple-node failures of RS codes under the rack-aware storage model, we employ good…

信息论 · 计算机科学 2024-05-28 Yumeng Yang , Han Cai , Xiaohu Tang

We study the performance of Reed-Solomon (RS) codes for the \em exact repair problem \em in distributed storage. Our main result is that, in some parameter regimes, Reed-Solomon codes are optimal regenerating codes, among MDS codes with…

信息论 · 计算机科学 2016-08-10 Venkatesan Guruswami , Mary Wootters

In modern practical data centers, storage nodes are usually organized into equally sized groups, which is called racks. The cost of cross-rack communication is much more expensive compared with the intra-rack communication cost. The codes…

信息论 · 计算机科学 2019-11-20 Lingfei Jin , Gaojun Luo , Chaoping Xing

Minimum storage regenerating (MSR) codes are MDS codes which allow for recovery of any single erased symbol with optimal repair bandwidth, based on the smallest possible fraction of the contents downloaded from each of the other symbols.…

数据结构与算法 · 计算机科学 2019-07-10 Venkatesan Guruswami , Haotian Jiang

Reed-Solomon codes have found many applications in practical storage systems, but were until recently considered unsuitable for distributed storage applications due to the widely-held belief that they have poor repair bandwidth. The work of…

信息论 · 计算机科学 2017-05-16 Hoang Dau , Olgica Milenkovic

The problem of repairing linear codes and, in particular, Reed Solomon (RS) codes has attracted a lot of attention in recent years due to their extreme importance to distributed storage systems. In this problem, a failed code symbol (node)…

信息论 · 计算机科学 2022-04-12 Roni Con , Itzhak Tamo

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

The minimum storage rack-aware regenerating (MSRR) code is a variation of regenerating codes that achieves the optimal repair bandwidth for a single node failure in the rack-aware model. The authors in~\cite{Chen-Barg2019}…

信息论 · 计算机科学 2021-09-20 Jiaojiao Wang , Dabin Zheng , Shenghua Li

In an $(n,k,d)$ rack-aware storage model, the system consists of $n$ nodes uniformly distributed across $\bar{n}$ successive racks, such that each rack contains $u$ nodes of equal capacity and the reconstructive degree satisfies…

信息论 · 计算机科学 2025-11-25 Hengming Zhao , Dianhua Wu , Minquan Cheng

Maximum distance separable (MDS) codes are widely used in distributed storage, but naively repairing a single failure in an $(n,k)$ MDS code requires downloading the full contents of $k$ surviving nodes. Minimum storage regenerating (MSR)…

信息论 · 计算机科学 2026-05-26 Jing Qiu , Weijun Fang , Shu-Tao Xia , Fang-Wei Fu

Recently Reed-Solomon (RS) codes were shown to possess a repair scheme that supports repair of failed nodes with optimal repair bandwidth. In this paper, we extend this result in two directions. First, we propose a new repair scheme for the…

信息论 · 计算机科学 2020-01-22 Zitan Chen , Min Ye , Alexander Barg

Petabyte-scale distributed storage systems are currently transitioning to erasure codes to achieve higher storage efficiency. Classical codes like Reed-Solomon are highly sub-optimal for distributed environments due to their high overhead…

信息论 · 计算机科学 2013-11-07 Itzhak Tamo , Dimitris S. Papailiopoulos , Alexandros G. Dimakis

Despite their exceptional error-correcting properties, Reed-Solomon (RS) codes have been overlooked in distributed storage applications due to the common belief that they have poor repair bandwidth: A naive repair approach would require the…

信息论 · 计算机科学 2017-05-16 Hoang Dau , Iwan Duursma , Han Mao Kiah , Olgica Milenkovic

The issue of repairing Reed-Solomon codes currently employed in industry has been sporadically discussed in the literature. In this work we carry out a systematic study of these codes and investigate important aspects of repairing them…

信息论 · 计算机科学 2022-05-24 Thi Xinh Dinh , Luu Y Nhi Nguyen , Lakshmi J. Mohan , Serdar Boztas , Tran Thi Luong , Son Hoang Dau

We derive a lower bound on the amount of information accessed to repair failed nodes within a single rack from any number of helper racks in the rack-aware storage model that allows collective information processing in the nodes that share…

信息论 · 计算机科学 2023-04-19 Jiaojiao Wang , Zitan Chen

The repair problem in distributed storage addresses recovery of the data encoded using an erasure code, for instance, a Reed-Solomon (RS) code. We consider the problem of repairing a single node or multiple nodes in RS-coded storage systems…

信息论 · 计算机科学 2018-05-07 Itzhak Tamo , Min Ye , Alexander Barg

The paper is devoted to the problem of erasure coding in distributed storage. We consider a model of storage that assumes that nodes are organized into equally sized groups, called racks, that within each group the nodes can communicate…

信息论 · 计算机科学 2019-01-15 Zitan Chen , Alexander Barg

In this paper, we discuss codes for distributed storage systems with hierarchical repair properties. Specifically, we devote attention to the repair problem of the rack-aware storage model with locality, aiming to enhance the system's…

信息论 · 计算机科学 2024-01-30 Yumeng Yang , Han Cai , Xiaohu Tang

The repair bandwidth of a code is the minimum amount of data required to repair one or several failed nodes (erasures). For MDS codes, the repair bandwidth is bounded below by the so-called cut-set bound, and codes that meet this bound with…

信息论 · 计算机科学 2017-10-20 Min Ye , Alexander Barg
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