DocumentCode :
679636
Title :
A Novel Simulation Methodology for Accelerating Reliability Assessment of SSDs
Author :
Luyao Jiang ; Gurumurthi, Sudhanva
fYear :
2013
fDate :
14-16 Aug. 2013
Firstpage :
333
Lastpage :
337
Abstract :
Reliability is an important factor to consider when designing and deploying SSDs in storage systems. Both the endurance and the retention time of flash memory are affected by the history of low-level stress and recovery patterns in flash cells, which are determined by the workload characteristics, the time during which the workload utilizes the SSD, and the FTL algorithms. Accurately assessing SSD reliability requires simulating several years´ of workload behavior, which is time consuming. This paper presents a methodology that uses snapshot-based sampling and clustering techniques to help reduce the simulation time while maintaining high accuracy. The methodology leverages the key insight that most of the large changes in retention time occur early in the lifetime of the SSD, whereas most of the simulation time is spent in its later stages. This allows simulation acceleration to focus on the later stages without significant loss of accuracy. We show that our approach provides an average speed-up of 12X relative to detailed simulation with an error of 3.21% in the estimated mean and 6.42% in the estimated standard deviation of the retention times of the blocks in the SSD.
Keywords :
flash memories; integrated circuit reliability; pattern clustering; sampling methods; FTL algorithms; clustering techniques; flash cells; flash memory; low-level stress; recovery patterns; reliability assessment acceleration; retention times; simulation acceleration; snapshot-based sampling techniques; solid-state drives; standard deviation; storage systems; workload characteristics; Acceleration; Analytical models; Ash; Computational modeling; Histograms; Reliability; Stress; Flash; Reliability; SSD; Storage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2013 IEEE 21st International Symposium on
Conference_Location :
San Francisco, CA
ISSN :
1526-7539
Type :
conf
DOI :
10.1109/MASCOTS.2013.46
Filename :
6730781
Link To Document :
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