Linear locally recoverable codes with locality r=1

A code is called a locally recoverable code (LRC) with locality r if any symbol of a codeword can be recovered by accessing r other symbols that forms the recovering set. A LRC has availability t if each symbol has at least t disjoint recovering sets. In this thesis, we summarise the known propertie...

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Main Author: Teo, Samuel Tien Ho
Other Authors: Chee Yeow Meng
Format: Theses and Dissertations
Language:English
Published: 2017
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Online Access:http://hdl.handle.net/10356/69622
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-696222023-02-28T23:47:17Z Linear locally recoverable codes with locality r=1 Teo, Samuel Tien Ho Chee Yeow Meng School of Physical and Mathematical Sciences DRNTU::Engineering::Computer science and engineering::Data::Coding and information theory A code is called a locally recoverable code (LRC) with locality r if any symbol of a codeword can be recovered by accessing r other symbols that forms the recovering set. A LRC has availability t if each symbol has at least t disjoint recovering sets. In this thesis, we summarise the known properties and bounds of linear LRCs and will focus primarily on linear LRCs with locality r = 1 and availability t = 1. We will derive a few propagation rules for linear LRCs with locality r = 1 and present a code construction method using partitions of length n of a LRC. We will prove the optimality of linear LRCs with locality r = 1 for certain values of length n and distance d, and compare upper bounds and lower bounds of binary linear LRCs with locality r = 1 with respect to dimension k. The investigation into the optimal dimensions of linear LRCs is important to improve efficiency in their applications in distributed and cloud storage systems. ​Master of Science 2017-03-11T02:45:40Z 2017-03-11T02:45:40Z 2017 Thesis Teo, S. T. H. (2017). Linear locally recoverable codes with locality r=1. Master's thesis, Nanyang Technological University, Singapore. http://hdl.handle.net/10356/69622 10.32657/10356/69622 en 54 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Data::Coding and information theory
spellingShingle DRNTU::Engineering::Computer science and engineering::Data::Coding and information theory
Teo, Samuel Tien Ho
Linear locally recoverable codes with locality r=1
description A code is called a locally recoverable code (LRC) with locality r if any symbol of a codeword can be recovered by accessing r other symbols that forms the recovering set. A LRC has availability t if each symbol has at least t disjoint recovering sets. In this thesis, we summarise the known properties and bounds of linear LRCs and will focus primarily on linear LRCs with locality r = 1 and availability t = 1. We will derive a few propagation rules for linear LRCs with locality r = 1 and present a code construction method using partitions of length n of a LRC. We will prove the optimality of linear LRCs with locality r = 1 for certain values of length n and distance d, and compare upper bounds and lower bounds of binary linear LRCs with locality r = 1 with respect to dimension k. The investigation into the optimal dimensions of linear LRCs is important to improve efficiency in their applications in distributed and cloud storage systems.
author2 Chee Yeow Meng
author_facet Chee Yeow Meng
Teo, Samuel Tien Ho
format Theses and Dissertations
author Teo, Samuel Tien Ho
author_sort Teo, Samuel Tien Ho
title Linear locally recoverable codes with locality r=1
title_short Linear locally recoverable codes with locality r=1
title_full Linear locally recoverable codes with locality r=1
title_fullStr Linear locally recoverable codes with locality r=1
title_full_unstemmed Linear locally recoverable codes with locality r=1
title_sort linear locally recoverable codes with locality r=1
publishDate 2017
url http://hdl.handle.net/10356/69622
_version_ 1759855898982875136