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DTSTART:19700308T020000
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DTSTAMP:20260522T150116Z
LOCATION:D163
DTSTART;TZID=America/Chicago:20181112T142500
DTEND;TZID=America/Chicago:20181112T145000
UID:submissions.supercomputing.org_SC18_sess142_ws_pdsw116@linklings.com
SUMMARY:Understanding SSD Reliability in Large-Scale Cloud Systems
DESCRIPTION:Erci Xu (Ohio State University), Mai Zheng (Iowa State Univers
 ity), Feng Qin (Ohio State University), and Yikang Xu and Jiesheng Wu (Ali
 baba Inc)\n\nModern datacenters increasingly use flash-based solid state d
 rives (SSDs) for high performance and low energy cost. However, SSDs intro
 duce more complex failure modes compared to traditional hard disks. While 
 great efforts have been made to understand the reliability of SSDs itself,
  it remains unclear how the device-level errors may affect upper layers, o
 r how the services running on top of the storage stack may affect the SSDs
 .\n\nIn this paper, we take a holistic view to examine the reliability of 
 SSD-based storage systems in Alibaba's datacenters, which covers about hal
 f-million SSDs under representative cloud services over three years. By ve
 rtically analyzing the error events across three layers (i.e., SSDs, OS, a
 nd the distributed file system), we discover a number of interesting corre
 lations. For example, SSDs with UltraDMA CRC errors, while seems benign at
  the device level, are nearly 3 times more likely to lead to OS-level erro
 r events. As another example, different cloud services may lead to differe
 nt usage patterns of SSDs, some of which are detrimental from the devices 
 perspective.\n\nTag: I/O, Storage\n\nRegistration Category: Workshop Reg P
 ass\n\n
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