A Survey of SSD Lifecycle Prediction

被引:0
|
作者
Li, Qiang [1 ]
Li, Hui [1 ]
Zhang, Kai [1 ]
机构
[1] State Key Lab High End Server & Storage Technol, Beijing, Peoples R China
关键词
SSD; Lifecycle; Prediction; AI;
D O I
10.1109/icsess47205.2019.9040759
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
SSD has broad market application prospects. Servers in data centers are increasingly inclined to use SSD as a high-performance alternative to hard drives. Compared with HDD, the advantages of SSD are: fast start-up, fast read-write speed, small random read delay, good anti-seismic and anti-fall performance, low power consumption and so on. However, the lifetime of SSD is lower than that of HDD. Therefore, our users often pay close attention to the lifetime of SSD. Whether they can accurately predict the lifetime of SSD is the key to whether they buy SSD or not. On the basis of introducing the internal principle of SSD, this paper deeply introduces the SSD life prediction algorithms of various mainstream companies such as Intel, Sumsang and IBM. At the same time, the life prediction method of SSD based on AI is also shared. The comparative experiments show that the life prediction based on AI is better than that based on traditional statistical analysis.
引用
收藏
页码:195 / 198
页数:4
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