网络分布式存储系统可修复性编码技术

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
F. Oggier, Anwitaman Datta
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引用次数: 54

摘要

最常用的多存储设备系统是在单个计算单元中安装RAID。将数据分布在多个磁盘上的想法已经自然地扩展到多个存储节点,这些存储节点通过网络相互连接,称为网络分布式存储系统(NDSS)。基于复制的最简单的编码技术通常用于确保这些系统中的冗余,但考虑到需要存储的数据量和复制的开销,正在开发其他编码技术。网络分布式存储系统可修复性编码技术研究了网络分布式存储系统(NDSS)的编码技术,旨在实现(1)高效容错和(2)良好的可修复特性,以补充丢失的冗余,并保证数据的长期耐用性。这是一个充满活力的研究领域,这本书是第一个概述,它提供了理解问题所需的背景,并涵盖了目前正在开发的最重要的技术。网络分布式存储系统的可修复性编码技术是所有参与设计和研究计算机存储系统的研究人员和工程师的必读书籍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coding Techniques for Repairability in Networked Distributed Storage Systems
The most commonly deployed multi-storage device systems are RAID housed in a single computing unit. The idea of distributing data across multiple disks has been naturally extended to multiple storage nodes which are interconnected over a network and are called Networked Distributed Storage Systems (NDSS). The simplest coding techniques based on replication are often used to ensure redundancy in these systems, but given the sheer volume of data that needs to be stored and the overheads of replication, other coding techniques are being developed. Coding Techniques for Repairability in Networked Distributed Storage Systems (NDSS) surveys coding techniques for NDSS, which aim at achieving (1) fault tolerance efficiently and (2) good repairability characteristics to replenish the lost redundancy, and ensure data durability over time. This is a vibrant are of research and this book is the first overview which presents the background required to understand the problems as well as covering the most important techniques currently being developed. Coding Techniques for Repairability in Networked Distributed Storage Systems is essential reading for all researchers and engineers involved in designing and researching computer storage systems.
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来源期刊
Foundations and Trends in Communications and Information Theory
Foundations and Trends in Communications and Information Theory COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.90
自引率
0.00%
发文量
6
期刊介绍: Foundations and Trends® in Communications and Information Theory publishes survey and tutorial articles in the following topics: - Coded modulation - Coding theory and practice - Communication complexity - Communication system design - Cryptology and data security - Data compression - Data networks - Demodulation and Equalization - Denoising - Detection and estimation - Information theory and statistics - Information theory and computer science - Joint source/channel coding - Modulation and signal design - Multiuser detection - Multiuser information theory
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