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相关论文: Rack-aware minimum-storage regenerating codes with…

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In distributed storage systems that employ erasure coding, the issue of minimizing the total {\it repair bandwidth} required to exactly regenerate a storage node after a failure arises. This repair bandwidth depends on the structure of the…

信息论 · 计算机科学 2011-06-10 Dimitris S. Papailiopoulos , Alexandros G. Dimakis

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…

Regenerating codes based on the approach of interference alignment for wireless interference channel achieve the cut-set bound for distributed storage systems. These codes provide data reliability, and perform efficient exact node repair…

信息论 · 计算机科学 2018-01-08 Natasa Paunkoska , Ninoslav Marina , Venceslav Kafedziski

In this paper, we provide explicit constructions for a class of exact-repair regenerating codes that possess a layered structure. These regenerating codes correspond to interior points on the storage-repair-bandwidth tradeoff, and compare…

信息论 · 计算机科学 2013-03-12 Birenjith Sasidharan , P. Vijay Kumar

We study the problem of centralized exact repair of multiple failures in distributed storage. We describe constructions that achieve a new set of interior points under exact repair. The constructions build upon the layered code construction…

信息论 · 计算机科学 2018-02-02 Marwen Zorgui , Zhiying Wang

Erasure coding techniques are used to increase the reliability of distributed storage systems while minimizing storage overhead. Also of interest is minimization of the bandwidth required to repair the system following a node failure. In a…

信息论 · 计算机科学 2009-10-06 K. V. Rashmi , Nihar B. Shah , P. Vijay Kumar , Kannan Ramchandran

The explosion in the volumes of data being stored online has resulted in distributed storage systems transitioning to erasure coding based schemes. Local Reconstruction Codes (LRCs) have emerged as the codes of choice for these…

信息论 · 计算机科学 2018-11-19 Sivakanth Gopi , Venkatesan Guruswami , Sergey Yekhanin

The majority of works in distributed storage networks assume a simple network model with a collection of identical storage nodes with the same communication cost between the nodes. In this paper, we consider a realistic multi-rack…

信息论 · 计算机科学 2019-03-11 Ali Tebbi , Terence H. Chan , Chi Wan Sung

In this paper, we propose locally repairable codes (LRCs) with optimal minimum distance for distributed storage systems (DSS). A two-layer encoding structure is employed to ensure data reconstruction and the designated repair locality. The…

信息论 · 计算机科学 2014-08-15 Hongmei Xie , Zhiyuan Yan

The locally repairable codes (LRCs) were introduced to correct erasures efficiently in distributed storage systems. LRCs are extensively studied recently. In this paper, we first deal with the open case remained in \cite{q} and derive an…

信息论 · 计算机科学 2015-06-17 Jun Zhang , Xin Wang , Gennian Ge

The problem of multilevel diversity coding with secure regeneration is revisited. Under the assumption that the eavesdropper can access the repair data for all compromised storage nodes, Shao el al. provided a precise characterization of…

信息论 · 计算机科学 2018-01-15 Shuo Shao , Tie Liu , Chao Tian , Cong Shen

Regenerating codes (RCs) can significantly reduce the repair-bandwidth of distributed storage networks. Initially, the analysis of RCs was based on the assumption that during the repair process, the newcomer does not distinguish (among all…

信息论 · 计算机科学 2016-11-15 Imad Ahmad , Chih-Chun Wang

We revisit zigzag array codes, a family of MDS codes known for achieving optimal access and optimal rebuilding ratio in single-node repair. In this work, we endow zigzag codes with two new properties: small field size and low skip cost.…

信息论 · 计算机科学 2025-09-30 Wenqin Zhang , Han Mao Kiah , Son Hoang Dau

We consider the problem of designing [n; k] linear codes for distributed storage systems (DSS) that satisfy the (r, t)-Local Repair Property, where any t'(<=t) simultaneously failed nodes can be locally repaired, each with locality r. The…

信息论 · 计算机科学 2015-07-30 Wentu Song , Chau Yuen

In this paper, we revisit the problem of finding the longest systematic-length $k$ for a linear minimum storage regenerating (MSR) code with optimal repair of only systematic part, for a given per-node storage capacity $l$ and an arbitrary…

信息论 · 计算机科学 2018-07-06 Kun Huang , Udaya Parampalli , Ming Xian

Distributed storage systems employ codes to provide resilience to failure of multiple storage disks. Specifically, an $(n, k)$ MDS code stores $k$ symbols in $n$ disks such that the overall system is tolerant to a failure of up to $n-k$…

信息论 · 计算机科学 2013-05-16 Sreechakra Goparaju , Itzhak Tamo , Robert Calderbank

Local Reconstruction Codes (LRCs) allow for recovery from a small number of erasures in a local manner based on just a few other codeword symbols. A maximally recoverable (MR) LRC offers the best possible blend of such local and global…

信息论 · 计算机科学 2018-08-15 Venkatesan Guruswami , Lingfei Jin , Chaoping Xing

We construct maximally recoverable codes (corresponding to partial MDS codes) which are based on linearized Reed-Solomon codes. The new codes have a smaller field size requirement compared with known constructions. For certain asymptotic…

信息论 · 计算机科学 2021-10-15 Han Cai , Ying Miao , Moshe Schwartz , Xiaohu Tang

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

Data availability is critical in distributed storage systems, especially when node failures are prevalent in real life. A key requirement is to minimize the amount of data transferred among nodes when recovering the lost or unavailable data…

分布式、并行与集群计算 · 计算机科学 2013-06-07 Runhui Li , Jian Lin , Patrick P. C. Lee