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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 wireless distributed storage systems, storage nodes are connected by wireless channels, which are broadcast in nature. This paper exploits this unique feature to design an efficient repair mechanism, called broadcast repair, for wireless…

信息论 · 计算机科学 2017-07-10 Ping Hu , Chi Wan Sung , Terence H. Chan

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

We study the trade-off between storage overhead and inter-cluster repair bandwidth in clustered storage systems, while recovering from multiple node failures within a cluster. A cluster is a collection of $m$ nodes, and there are $n$…

信息论 · 计算机科学 2017-08-21 Vitaly Abdrashitov , N. Prakash , Muriel Médard

This paper presents a construction for high-rate MDS codes that enable bandwidth-efficient repair of a single node. Such MDS codes are also referred to as the minimum storage regenerating (MSR) codes in the distributed storage literature.…

信息论 · 计算机科学 2016-01-26 Ankit Singh Rawat , O. Ozan Koyluoglu , Sriram Vishwanath

A novel coding scheme for exact repair-regenerating codes is presented in this paper. The codes proposed in this work can trade between the repair bandwidth of nodes (number of downloaded symbols from each surviving node in a repair…

信息论 · 计算机科学 2021-01-05 Mehran Elyasi , Soheil Mohajer

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

Centralized repair refers to repairing $h\geq 2$ node failures using $d$ helper nodes in a centralized way, where the repair bandwidth is counted by the total amount of data downloaded from the helper nodes. A centralized MSR code is an MDS…

信息论 · 计算机科学 2024-02-06 Yaqian Zhang

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

In the context of distributed storage systems, locally repairable codes have become important. In this paper we focus on codes that allow for multi-erasure pattern decoding with low computational effort. Different optimality requirements,…

信息论 · 计算机科学 2025-04-16 Margreta Kuijper , Julia Lieb , Diego Napp

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

Regenerating codes are efficient methods for distributed storage in storage networks, where node failures are common. They guarantee low cost data reconstruction and repair through accessing only a predefined number of arbitrarily chosen…

信息论 · 计算机科学 2017-11-09 Kaveh Mahdaviani , Ashish Khisti , Soheil Mohajer

Digital contents in large scale distributed storage systems may have different reliability and access delay requirements, and for this reason, erasure codes with different strengths need to be utilized to achieve the best storage…

信息论 · 计算机科学 2016-04-29 Chao Tian , Tie Liu

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

Coded caching is an emerging technique to reduce the data transmission load during the peak-traffic times. In such a scheme, each file in the data center or library is usually divided into a number of packets to pursue a low broadcasting…

信息论 · 计算机科学 2022-01-06 Xianzhang Wu , Minquan Cheng , Congduan Li , Li Chen

Erasure correcting codes are widely used to ensure data persistence in distributed storage systems. This paper addresses the simultaneous repair of multiple failures in such codes. We go beyond existing work (i.e., regenerating codes by…

信息论 · 计算机科学 2013-09-18 Anne-Marie Kermarrec , Gilles Straub , Nicolas Le Scouarnec

Classical erasure codes, e.g. Reed-Solomon codes, have been acknowledged as an efficient alternative to plain replication to reduce the storage overhead in reliable distributed storage systems. Yet, such codes experience high overhead…

分布式、并行与集群计算 · 计算机科学 2012-06-20 Anne-Marie Kermarrec , Erwan Le Merrer , Gilles Straub , Alexandre van Kempen

In a distributed storage system, the storage costs of different storage nodes, in general, can be different. How to store a file in a given set of storage nodes so as to minimize the total storage cost is investigated. By analyzing the…

信息论 · 计算机科学 2011-07-29 Quan Yu , Kenneth W. Shum , Chi Wan Sung

A new class of exact-repair regenerating codes is constructed by combining two layers of erasure correction codes together with combinatorial block designs, e.g., Steiner systems, balanced incomplete block designs and t-designs. The…

信息论 · 计算机科学 2013-02-20 Chao Tian , Vaneet Aggarwal , Vinay A. Vaishampayan

In this paper, we propose a novel cooperative repair scheme for Zigzag MSR codes with optimal repair bandwidth, enabling the repair of any h failed nodes. To the best of our knowledge, this is the first optimal cooperative repair scheme for…

信息论 · 计算机科学 2025-02-28 Yajuan Liu , Han Cai , Xiaohu Tang