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相关论文: Beyond the MDS Bound in Distributed Cloud Storage

200 篇论文

In a distributed storage environment, where the data is placed in nodes connected through a network, it is likely that one of these nodes fails. It is known that the use of erasure coding improves the fault tolerance and minimizes the…

信息论 · 计算机科学 2013-05-17 Bernat Gastón , Jaume Pujol , Mercè Villanueva

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

In this paper we study distributed storage systems with exact repair. We give a construction for regenerating codes between the minimum storage regenerating (MSR) and the minimum bandwidth regenerating (MBR) points and show that in the case…

分布式、并行与集群计算 · 计算机科学 2015-04-08 Toni Ernvall

Minimum-Storage Regenerating (MSR) codes have emerged as a viable alternative to Reed-Solomon (RS) codes as they minimize the repair bandwidth while they are still optimal in terms of reliability and storage overhead. Although several MSR…

信息论 · 计算机科学 2020-02-14 Katina Kralevska , Danilo Gligoroski , Rune E. Jensen , Harald Øverby

We consider a set up where a file of size M is stored in n distributed storage nodes, using an (n,k) minimum storage regenerating (MSR) code, i.e., a maximum distance separable (MDS) code that also allows efficient exact-repair of any…

信息论 · 计算机科学 2010-04-27 Viveck R. Cadambe , Syed A. Jafar , Hamed Maleki

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

Minimum storage regenerating (MSR) codes are a class of maximum distance separable (MDS) array codes capable of repairing any single failed node by downloading the minimum amount of information from each of the helper nodes. However, MSR…

信息论 · 计算机科学 2024-08-30 Vinayak Ramkumar , Netanel Raviv , Itzhak Tamo

A passive adversary can eavesdrop stored content or downloaded content of some storage nodes, in order to learn illegally about the file stored across a distributed storage system (DSS). Previous work in the literature focuses on code…

信息论 · 计算机科学 2014-02-19 Son Hoang Dau , Wentu Song , Chau Yuen

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 problem of multilevel diversity coding with secure regeneration (MDC-SR) is considered, which includes the problems of multilevel diversity coding with regeneration (MDC-R) and secure regenerating code (SRC) as special cases. Two outer…

信息论 · 计算机科学 2018-11-14 Shuo Shao , Tie Liu , Chao Tian , Cong Shen

The high repair cost of (n,k) Maximum Distance Separable (MDS) erasure codes has recently motivated a new class of codes, called Regenerating Codes, that optimally trade off storage cost for repair bandwidth. On one end of this spectrum of…

信息论 · 计算机科学 2010-04-19 Changho Suh , Kannan Ramchandran

Heterogeneous Distributed Storage Systems (DSS) are close to real world applications for data storage. Internet caching system and peer-to-peer storage clouds are the examples of such DSS. In this work, we calculate the capacity formula for…

信息论 · 计算机科学 2014-02-18 Krishna Gopal Benerjee , Manish Kumar Gupta

The newly presented $(k+2,k)$ Hadamard minimum storage regenerating (MSR) code is the first class of high rate storage code with optimal repair property for all single node failures. In this paper, we propose a new simple repair strategy,…

信息论 · 计算机科学 2013-12-19 Xiaohu Tang , Bin Yang , Jie Li

Clustered distributed storage models real data centers where intra- and cross-cluster repair bandwidths are different. In this paper, exact-repair minimum-storage-regenerating (MSR) codes achieving capacity of clustered distributed storage…

信息论 · 计算机科学 2018-01-09 Jy-yong Sohn , Beongjun Choi , Jaekyun Moon

High-rate minimum storage regenerating (MSR) codes are known to require a large sub-packetization level, which can make meta-data management difficult and hinder implementation in practical systems. A few maximum distance separable (MDS)…

信息论 · 计算机科学 2023-08-29 Jie Li , Yi Liu , Xiaohu Tang , Yunghsiang S. Han , Bo Bai , Gong Zhang

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

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

Regenerating codes and codes with locality are two schemes that have recently been proposed to ensure data collection and reliability in a distributed storage network. In a situation where one is attempting to repair a failed node,…

信息论 · 计算机科学 2013-02-05 Govinda M. Kamath , N. Prakash , V. Lalitha , P. Vijay Kumar

The distributed data storage systems are constructed by large number of nodes which are interconnected over a network. Each node in such peer-to-peer network is vulnerable and at a potential risk for attack. The attackers can eavesdrop the…

信息论 · 计算机科学 2016-02-08 Ninoslav Marina , Aneta Velkoska , Natasa Paunkoska

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