Abstract | ||
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NAND Flash Memories require Garbage Collection (GC) and Wear Leveling (WL) operations to be carried out by Flash Translation Layers (FTLs) that oversee flash management. Owing to expensive erasures and data copying, these two operations essentially determine application response times. Since file systems do not share any file deletion information with FTL, dead data is treated as valid by FTL, resulting in significant WL and GC overheads. In this work, we propose a novel method to dynamically interpret and treat dead data at the FTL level so as to reduce above overheads and improve application response times, without necessitating any changes to existing file systems. We demonstrate that our resource-efficient approach can improve application response times and memory write access times by 22% and reduce erasures by 21.6% on average. |
Year | DOI | Venue |
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2009 | 10.1109/DATE.2009.5090696 | DATE |
Keywords | Field | DocType |
system aware flash translation,file system,ftl level,gc overhead,nand flash memories,file deletion information,existing file system,dead data,flash translation layers,nand flash memory,data copying,application response time,probability density function,depth of focus,flash translation layer,data mining,embedded computing,application software,stratified sampling,semiconductor memory,garbage collection,benchmark testing,memory management,computer science,engineering management,photolithography,nonvolatile memory,chemical mechanical polishing | File system,Flash file system,Flash memory,File deletion,Computer science,Wear leveling,Parallel computing,NAND gate,Real-time computing,Garbage collection,Benchmark (computing) | Conference |
ISSN | Citations | PageRank |
1530-1591 | 5 | 0.76 |
References | Authors | |
8 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sai Krishna Mylavarapu | 1 | 5 | 0.76 |
Siddharth Choudhuri | 2 | 58 | 4.86 |
Aviral Shrivastava | 3 | 812 | 68.67 |
Jongeun Lee | 4 | 429 | 33.71 |
Tony Givargis | 5 | 5 | 0.76 |