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http://dx.doi.org/10.14400/JDC.2022.20.5.593

A Safety IO Throttling Method Inducting Differential End of Life to Improving the Reliability of Big Data Maintenance in the SSD based RAID  

Lee, Hyun-Seob (Division of advenced IT, Baekseok University)
Publication Information
Journal of Digital Convergence / v.20, no.5, 2022 , pp. 593-598 More about this Journal
Abstract
Recently, data production has seen explosive growth, and the storage systems to store these big data safely and quickly is evolving in various ways. A typical configuration of storage systems is the use of SSDs with fast data processing speed as a RAID group that can maintain reliable data. However, since NAND flash memory, which composes SSD, has the feature that deterioration if writes more than a certain number of times are repeated, can increase the likelihood of simultaneous failure on multiple SSDs in a RAID group. And this can result in serious reliability problems that data cannot be recovered. Thus, in order to solve this problem, we propose a method of throttling IOs so that each SSD within a RAID group leads to a different life-end. The technique proposed in this paper utilizes SMART to control the state of each SSD and the number of IOs allocated according to the data pattern used step by step. In addition, this method has the advantage of preventing large amounts of concurrency defects in RAID because it induces differential lifetime finishes of SSDs.
Keywords
NAND flash memory; RAID; IO Throttling; Storage System; Big Data;
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Times Cited By KSCI : 1  (Citation Analysis)
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