A code design framework for multi-rack distributed storage

M. Ali Tebbi; Terence H. Chan; Chi Wan Sung

doi:10.1109/ITW.2014.6970791

A code design framework for multi-rack distributed storage

M. Ali Tebbi
, Terence H. Chan
, Chi Wan Sung

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

18 Citations (Scopus)

Abstract

In practical distributed storage networks, data centres house hundreds of racks, each of which contains several storage nodes. However, the majority of works in distributed storage assume a simple network model with a collection of identical storage nodes with same communication cost between the nodes. In this paper, we consider a more realistic rack model of storage network and present a code design framework for this model. Using our code construction method, node failures within a rack can be repaired locally by survived nodes in the same rack or by the other survived racks when the information content of the same rack is not sufficient to repair the failed nodes.

Original language	English
Title of host publication	2014 IEEE Information Theory Workshop, ITW 2014
Publisher	IEEE
Pages	55-59
ISBN (Print)	9781479959990
DOIs	https://doi.org/10.1109/ITW.2014.6970791
Publication status	Published - 1 Dec 2014
Event	2014 IEEE Information Theory Workshop, ITW 2014 - Hobart, Australia Duration: 2 Nov 2014 → 5 Nov 2014

Conference

Conference	2014 IEEE Information Theory Workshop, ITW 2014
Place	Australia
City	Hobart
Period	2/11/14 → 5/11/14

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title = "A code design framework for multi-rack distributed storage",

abstract = "In practical distributed storage networks, data centres house hundreds of racks, each of which contains several storage nodes. However, the majority of works in distributed storage assume a simple network model with a collection of identical storage nodes with same communication cost between the nodes. In this paper, we consider a more realistic rack model of storage network and present a code design framework for this model. Using our code construction method, node failures within a rack can be repaired locally by survived nodes in the same rack or by the other survived racks when the information content of the same rack is not sufficient to repair the failed nodes.",

author = "Tebbi, \{M. Ali\} and Chan, \{Terence H.\} and Sung, \{Chi Wan\}",

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N2 - In practical distributed storage networks, data centres house hundreds of racks, each of which contains several storage nodes. However, the majority of works in distributed storage assume a simple network model with a collection of identical storage nodes with same communication cost between the nodes. In this paper, we consider a more realistic rack model of storage network and present a code design framework for this model. Using our code construction method, node failures within a rack can be repaired locally by survived nodes in the same rack or by the other survived racks when the information content of the same rack is not sufficient to repair the failed nodes.

AB - In practical distributed storage networks, data centres house hundreds of racks, each of which contains several storage nodes. However, the majority of works in distributed storage assume a simple network model with a collection of identical storage nodes with same communication cost between the nodes. In this paper, we consider a more realistic rack model of storage network and present a code design framework for this model. Using our code construction method, node failures within a rack can be repaired locally by survived nodes in the same rack or by the other survived racks when the information content of the same rack is not sufficient to repair the failed nodes.

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DO - 10.1109/ITW.2014.6970791

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781479959990

SP - 55

EP - 59

BT - 2014 IEEE Information Theory Workshop, ITW 2014

PB - IEEE

T2 - 2014 IEEE Information Theory Workshop, ITW 2014

Y2 - 2 November 2014 through 5 November 2014

ER -

A code design framework for multi-rack distributed storage

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