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相关论文: Rack-Aware MSR Codes with Multiple Erasure Toleran…

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We introduce a new class of exact Minimum-Bandwidth Regenerating (MBR) codes for distributed storage systems, characterized by a low-complexity uncoded repair process that can tolerate multiple node failures. These codes consist of the…

信息论 · 计算机科学 2010-10-14 Salim El Rouayheb , Kannan Ramchandran

Modern distributed storage systems apply redundancy coding techniques to stored data. One form of redundancy is based on regenerating codes, which can minimize the repair bandwidth, i.e., the amount of data transferred when repairing a…

信息论 · 计算机科学 2013-01-23 Yuchong Hu , Patrick P. C. Lee , Kenneth W. Shum

This short note revisits the problem of designing secure minimum storage regenerating (MSR) codes for distributed storage systems. A secure MSR code ensures that a distributed storage system does not reveal the stored information to a…

信息论 · 计算机科学 2016-08-08 Ankit Singh Rawat

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

Node failures are inevitable in distributed storage systems (DSS). To enable efficient repair when faced with such failures, two main techniques are known: Regenerating codes, i.e., codes that minimize the total repair bandwidth; and codes…

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

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

MDS (maximum distance separable) array codes are widely used in storage systems due to their computationally efficient encoding and decoding procedures. An MDS code with r redundancy nodes can correct any r erasures by accessing (reading)…

信息论 · 计算机科学 2011-07-11 Zhiying Wang , Itzhak Tamo , Jehoshua Bruck

This paper presents a comprehensive study on the asymptotically optimal repair of Reed-Solomon (RS) codes with small sub-packetization, specifically tailored for rack-aware distributed storage systems. Through the utilization of multi-base…

信息论 · 计算机科学 2025-07-16 Ke Wang , Zhongyan Liu , Rengang Li , Yaqian Zhao , Yaqiang Zhang

Maximum distance separable (MDS) codes have the optimal trade-off between storage efficiency and fault tolerance, which are widely used in distributed storage systems. As typical non-MDS codes, simple regenerating codes (SRCs) can achieve…

信息论 · 计算机科学 2023-09-06 Zhengyi Jiang , Hao Shi , Zhongyi Huang , Bo Bai , Gong Zhang , Hanxu Hou

This paper presents an explicit construction for an $((n,k,d=n-1), (\alpha,\beta))$ regenerating code over a field $\mathbb{F}_Q$ operating at the Minimum Storage Regeneration (MSR) point. The MSR code can be constructed to have rate $k/n$…

信息论 · 计算机科学 2016-09-20 Birenjith Sasidharan , Myna Vajha , P. Vijay Kumar

A novel technique for construction of minimum storage regenerating (MSR) codes is presented. Based on this technique, three explicit constructions of MSR codes are given. The first two constructions provide access-optimal MSR codes, with…

信息论 · 计算机科学 2016-01-29 Netanel Raviv , Natalia Silberstein , Tuvi Etzion

In large scale distributed storage systems (DSS) deployed in cloud computing, correlated failures resulting in simultaneous failure (or, unavailability) of blocks of nodes are common. In such scenarios, the stored data or a content of a…

信息论 · 计算机科学 2017-02-22 Gokhan Calis , O. Ozan Koyluoglu

Binary maximum distance separable (MDS) array codes are a special class of erasure codes for distributed storage that not only provide fault tolerance with minimum storage redundancy but also achieve low computational complexity. They are…

信息论 · 计算机科学 2019-06-24 Hanxu Hou , Yunghsiang Han , Patrick P. C. Lee , Yuchong Hu , Hui Li

A code construction and repair scheme for optimal functional regeneration of multiple node failures is presented, which is based on stitching together short MDS codes on carefully chosen sets of points lying on a linearized polynomial. The…

信息论 · 计算机科学 2019-04-17 Nitish Mital , Katina Kralevska , Cong Ling , Deniz Gunduz

In this paper, a new repair scheme for a modified construction of MDS codes is studied. The obtained repair scheme has optimal bandwidth for multiple failed nodes under the cooperative repair model. In addition, the repair scheme has…

信息论 · 计算机科学 2022-01-19 Xing Lin , Han Cai , Xiaohu Tang

We study the exact and optimal repair of multiple failures in codes for distributed storage. More particularly, we provide an explicit construction of exact minimum bandwidth coordinated regenerating codes (MBCR) for n=d+t,k,d >= k,t >= 1.…

信息论 · 计算机科学 2012-07-05 Steve Jiekak , Nicolas Le Scouarnec

Here, we revisit the problem of exploring the secrecy capacity of minimum storage cooperative regenerating (MSCR) codes under the $\{l_1,l_2\}$-eavesdropper model, where the eavesdropper can observe the data stored on $l_1$ nodes and the…

信息论 · 计算机科学 2016-11-15 Kun Huang , Udaya Parampalli , Ming Xian

This paper considers capacity-achieving coding for the clustered form of distributed storage that reflects practical storage networks. To reflect the clustered structure with limited cross-cluster communication bandwidths, nodes in the same…

信息论 · 计算机科学 2019-08-05 Jy-yong Sohn , Beongjun Choi , Jaekyun Moon

MDS array codes are widely used in storage systems due to their computationally efficient encoding and decoding procedures. An MDS code with $r$ redundancy nodes can correct any $r$ node erasures by accessing all the remaining information…

信息论 · 计算机科学 2016-03-04 Zhiying Wang , Itzhak Tamo , Jehoshua Bruck