IEICE TRANSACTIONS on Information
Migration Cost Sensitive Garbage Collection Technique for Non-Volatile Memory Systems
Summary :
In this letter, we propose a garbage collection technique for non-volatile memory systems, called Migration Cost Sensitive Garbage Collection (MCSGC). Considering the migration overhead from selecting victim blocks, MCSGC increases the lifetime of memory systems and improves response time in garbage collection. Additionally, the proposed algorithm also improves the efficiency of garbage collection by separating cold data from hot data in valid pages. In the experimental evaluation, we show that MCSGC yields up to a 82% improvement in lifetime prolongation, compared with existing garbage collection, and it also reduces erase and migration operations by up to 30% and 29%, respectively.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.12 pp.3177-3180
- Publication Date
- 2016/12/01
- Publicized
- 2016/09/12
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016EDL8131
- Type of Manuscript
- LETTER
- Category
- Software System
Authors
Sang-Ho HWANG
Yeungnam University
Ju Hee CHOI
Seoul National University
Jong Wook KWAK
Yeungnam University
Keyword
Latest Issue
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Sang-Ho HWANG, Ju Hee CHOI, Jong Wook KWAK, "Migration Cost Sensitive Garbage Collection Technique for Non-Volatile Memory Systems" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 12, pp. 3177-3180, December 2016, doi: 10.1587/transinf.2016EDL8131.
Abstract: In this letter, we propose a garbage collection technique for non-volatile memory systems, called Migration Cost Sensitive Garbage Collection (MCSGC). Considering the migration overhead from selecting victim blocks, MCSGC increases the lifetime of memory systems and improves response time in garbage collection. Additionally, the proposed algorithm also improves the efficiency of garbage collection by separating cold data from hot data in valid pages. In the experimental evaluation, we show that MCSGC yields up to a 82% improvement in lifetime prolongation, compared with existing garbage collection, and it also reduces erase and migration operations by up to 30% and 29%, respectively.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016EDL8131/_p
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@ARTICLE{e99-d_12_3177,
author={Sang-Ho HWANG, Ju Hee CHOI, Jong Wook KWAK, },
journal={IEICE TRANSACTIONS on Information},
title={Migration Cost Sensitive Garbage Collection Technique for Non-Volatile Memory Systems},
year={2016},
volume={E99-D},
number={12},
pages={3177-3180},
abstract={In this letter, we propose a garbage collection technique for non-volatile memory systems, called Migration Cost Sensitive Garbage Collection (MCSGC). Considering the migration overhead from selecting victim blocks, MCSGC increases the lifetime of memory systems and improves response time in garbage collection. Additionally, the proposed algorithm also improves the efficiency of garbage collection by separating cold data from hot data in valid pages. In the experimental evaluation, we show that MCSGC yields up to a 82% improvement in lifetime prolongation, compared with existing garbage collection, and it also reduces erase and migration operations by up to 30% and 29%, respectively.},
keywords={},
doi={10.1587/transinf.2016EDL8131},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Migration Cost Sensitive Garbage Collection Technique for Non-Volatile Memory Systems
T2 - IEICE TRANSACTIONS on Information
SP - 3177
EP - 3180
AU - Sang-Ho HWANG
AU - Ju Hee CHOI
AU - Jong Wook KWAK
PY - 2016
DO - 10.1587/transinf.2016EDL8131
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2016
AB - In this letter, we propose a garbage collection technique for non-volatile memory systems, called Migration Cost Sensitive Garbage Collection (MCSGC). Considering the migration overhead from selecting victim blocks, MCSGC increases the lifetime of memory systems and improves response time in garbage collection. Additionally, the proposed algorithm also improves the efficiency of garbage collection by separating cold data from hot data in valid pages. In the experimental evaluation, we show that MCSGC yields up to a 82% improvement in lifetime prolongation, compared with existing garbage collection, and it also reduces erase and migration operations by up to 30% and 29%, respectively.
ER -
English
