Buffer Management With Append-Only Data Isolation for Improving SSD Performance

The number of applications that can access a storage device simultaneously has increased as a result of the increase in storage capacity and the emergence of hyperscale environments. In multi-application environments, the request for append-only data to storage from applications such as log-structur...

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Autores principales: Joonyong Jeong, Gyeongyong Lee, Jungkeol Lee, Jungwook Choi, Yong Ho Song
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/48fd35f571e54e23abbc7d4939040a40
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spelling oai:doaj.org-article:48fd35f571e54e23abbc7d4939040a402021-12-03T00:00:33ZBuffer Management With Append-Only Data Isolation for Improving SSD Performance2169-353610.1109/ACCESS.2021.3130278https://doaj.org/article/48fd35f571e54e23abbc7d4939040a402021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9625958/https://doaj.org/toc/2169-3536The number of applications that can access a storage device simultaneously has increased as a result of the increase in storage capacity and the emergence of hyperscale environments. In multi-application environments, the request for append-only data to storage from applications such as log-structured merge-tree-based key-value (LSMKV) stores can negatively affect the storage-internal buffer hit ratio of other applications. This is because frequently re- accessed data can be evicted from the buffer via the intensive requests of append-only data that are rarely re- accessed. This degradation in the buffer hit ratio increases the storage access latency of applications. Herein, we propose a buffer management method to increase the buffer hit ratio of non-append-only data (or applications) in multi-application environments. The proposed method (1) defines large-sequential writes (that are not overwritten) and all reads on them as append-only input/output (I/O), (2) detects I/O, matching the access pattern of append-only data of LSMKVs, (3) allocates the append-only read/write requests into separate small buffer spaces, and (4) evicts the append-only data from the buffer when free buffer space is required. Because the proposed method stores append-only data of an LSMKV in buffer spaces with a limited size, it can increase the buffer hit ratio of applications that frequently re- access its data. Experimental results show that the proposed method can increase the buffer hit ratio of hot-data-intensive applications and the total buffer hit ratio by 31.72% and 20.06%, on average, respectively, in comparison to the existing buffer management techniques.Joonyong JeongGyeongyong LeeJungkeol LeeJungwook ChoiYong Ho SongIEEEarticleBuffer managementlog-structured merge treemulti-applicationNAND flash storageElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 157681-157698 (2021)
institution DOAJ
collection DOAJ
language EN
topic Buffer management
log-structured merge tree
multi-application
NAND flash storage
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Buffer management
log-structured merge tree
multi-application
NAND flash storage
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Joonyong Jeong
Gyeongyong Lee
Jungkeol Lee
Jungwook Choi
Yong Ho Song
Buffer Management With Append-Only Data Isolation for Improving SSD Performance
description The number of applications that can access a storage device simultaneously has increased as a result of the increase in storage capacity and the emergence of hyperscale environments. In multi-application environments, the request for append-only data to storage from applications such as log-structured merge-tree-based key-value (LSMKV) stores can negatively affect the storage-internal buffer hit ratio of other applications. This is because frequently re- accessed data can be evicted from the buffer via the intensive requests of append-only data that are rarely re- accessed. This degradation in the buffer hit ratio increases the storage access latency of applications. Herein, we propose a buffer management method to increase the buffer hit ratio of non-append-only data (or applications) in multi-application environments. The proposed method (1) defines large-sequential writes (that are not overwritten) and all reads on them as append-only input/output (I/O), (2) detects I/O, matching the access pattern of append-only data of LSMKVs, (3) allocates the append-only read/write requests into separate small buffer spaces, and (4) evicts the append-only data from the buffer when free buffer space is required. Because the proposed method stores append-only data of an LSMKV in buffer spaces with a limited size, it can increase the buffer hit ratio of applications that frequently re- access its data. Experimental results show that the proposed method can increase the buffer hit ratio of hot-data-intensive applications and the total buffer hit ratio by 31.72% and 20.06%, on average, respectively, in comparison to the existing buffer management techniques.
format article
author Joonyong Jeong
Gyeongyong Lee
Jungkeol Lee
Jungwook Choi
Yong Ho Song
author_facet Joonyong Jeong
Gyeongyong Lee
Jungkeol Lee
Jungwook Choi
Yong Ho Song
author_sort Joonyong Jeong
title Buffer Management With Append-Only Data Isolation for Improving SSD Performance
title_short Buffer Management With Append-Only Data Isolation for Improving SSD Performance
title_full Buffer Management With Append-Only Data Isolation for Improving SSD Performance
title_fullStr Buffer Management With Append-Only Data Isolation for Improving SSD Performance
title_full_unstemmed Buffer Management With Append-Only Data Isolation for Improving SSD Performance
title_sort buffer management with append-only data isolation for improving ssd performance
publisher IEEE
publishDate 2021
url https://doaj.org/article/48fd35f571e54e23abbc7d4939040a40
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AT jungkeollee buffermanagementwithappendonlydataisolationforimprovingssdperformance
AT jungwookchoi buffermanagementwithappendonlydataisolationforimprovingssdperformance
AT yonghosong buffermanagementwithappendonlydataisolationforimprovingssdperformance
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