The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
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Alors que la demande de fiabilité des données devient de plus en plus grande, la plupart des systèmes de stockage actuels adoptent des codes d'effacement pour garantir que les données puissent être reconstruites en cas de panne de périphérique physique. Afin de récupérer rapidement les données perdues suite à une seule panne, les méthodes d’optimisation de la récupération ont attiré beaucoup d’attention ces dernières années. Cependant, la plupart des méthodes d’optimisation existantes se concentrent sur des périphériques homogènes, ignorant le fait que les périphériques de stockage sont généralement hétérogènes. Dans cet article, nous proposons une nouvelle méthode d'optimisation de récupération appelée méthode HSR (Heterogeneous Storage Recovery), qui utilise à la fois les charges et la vitesse des appareils physiques comme cible d'optimisation, afin d'améliorer encore les performances de récupération des appareils hétérogènes. Les résultats de l'expérience montrent que, par rapport aux méthodes d'optimisation de récupération populaires existantes, la méthode HSR permet d'obtenir une vitesse de récupération beaucoup plus élevée sur des périphériques de stockage hétérogènes.
Yingxun FU
North China University of Technology
Junyi GUO
North China University of Technology
Li MA
North China University of Technology
Jianyong DUAN
North China University of Technology
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Yingxun FU, Junyi GUO, Li MA, Jianyong DUAN, "Single Failure Recovery Method for Erasure Coded Storage System with Heterogeneous Devices" in IEICE TRANSACTIONS on Information,
vol. E102-D, no. 9, pp. 1865-1869, September 2019, doi: 10.1587/transinf.2019EDL8021.
Abstract: As the demand of data reliability becomes more and more larger, most of today's storage systems adopt erasure codes to assure the data could be reconstructed when suffering from physical device failures. In order to fast recover the lost data from a single failure, recovery optimization methods have attracted a lot of attention in recent years. However, most of the existing optimization methods focus on homogeneous devices, ignoring the fact that the storage devices are usually heterogeneous. In this paper, we propose a new recovery optimization method named HSR (Heterogeneous Storage Recovery) method, which uses both loads and speed rate among physical devices as the optimization target, in order to further improve the recovery performance for heterogeneous devices. The experiment results show that, compared to existing popular recovery optimization methods, HSR method gains much higher recovery speed over heterogeneous storage devices.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDL8021/_p
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@ARTICLE{e102-d_9_1865,
author={Yingxun FU, Junyi GUO, Li MA, Jianyong DUAN, },
journal={IEICE TRANSACTIONS on Information},
title={Single Failure Recovery Method for Erasure Coded Storage System with Heterogeneous Devices},
year={2019},
volume={E102-D},
number={9},
pages={1865-1869},
abstract={As the demand of data reliability becomes more and more larger, most of today's storage systems adopt erasure codes to assure the data could be reconstructed when suffering from physical device failures. In order to fast recover the lost data from a single failure, recovery optimization methods have attracted a lot of attention in recent years. However, most of the existing optimization methods focus on homogeneous devices, ignoring the fact that the storage devices are usually heterogeneous. In this paper, we propose a new recovery optimization method named HSR (Heterogeneous Storage Recovery) method, which uses both loads and speed rate among physical devices as the optimization target, in order to further improve the recovery performance for heterogeneous devices. The experiment results show that, compared to existing popular recovery optimization methods, HSR method gains much higher recovery speed over heterogeneous storage devices.},
keywords={},
doi={10.1587/transinf.2019EDL8021},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - Single Failure Recovery Method for Erasure Coded Storage System with Heterogeneous Devices
T2 - IEICE TRANSACTIONS on Information
SP - 1865
EP - 1869
AU - Yingxun FU
AU - Junyi GUO
AU - Li MA
AU - Jianyong DUAN
PY - 2019
DO - 10.1587/transinf.2019EDL8021
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E102-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2019
AB - As the demand of data reliability becomes more and more larger, most of today's storage systems adopt erasure codes to assure the data could be reconstructed when suffering from physical device failures. In order to fast recover the lost data from a single failure, recovery optimization methods have attracted a lot of attention in recent years. However, most of the existing optimization methods focus on homogeneous devices, ignoring the fact that the storage devices are usually heterogeneous. In this paper, we propose a new recovery optimization method named HSR (Heterogeneous Storage Recovery) method, which uses both loads and speed rate among physical devices as the optimization target, in order to further improve the recovery performance for heterogeneous devices. The experiment results show that, compared to existing popular recovery optimization methods, HSR method gains much higher recovery speed over heterogeneous storage devices.
ER -