Cited 0 time in webofscience Cited 9 time in scopus

Performance Analysis of NVMe SSD-based All-flash Array Systems Conference

Title
Performance Analysis of NVMe SSD-based All-flash Array Systems Conference
Authors
Jin, Young TackAhn, SungjoonLee, Sungjin
DGIST Authors
Lee, Sungjin
Issue Date
2018-04-02
Citation
IEEE International Symposium on Performance Analysis of Systems and Software, 12-21
Type
Conference
ISBN
9781538650103
Abstract
In this paper, we analyze and optimize I/O latency of a petabyte scale, high performance all-flash array (AFA) system based on NVMe SSDs. A flash-based SSD itself shows relatively low and consistent latency but, in AFA systems where several tens or hundreds of SSDs are combined in a single host machine, applications often see higher and more diverged I/O latency compared with a standalone SSD. To figure out a main source of such high I/O fluctuations, we analyze end-to-end I/O latency characteristics of a real-world AFA system. We find out that suboptimal kernel policies, parameters, and configurations result in serious degradation of I/O response times, causing very long tail latency. Based on our observations, we manually reconfigure several kernel parameters and revise storage firmware to achieve consistent I/O latency. Our experimental results show that, with the finely tuned kernel for AFA systems, the mean and standard deviation of the maximum latency can be reduced by x8 and x400, respectively. The findings in this work provide useful wisdom in designing system software and operating systems-CPU schedulers need to be revised to take into account the priority of IO-bound jobs, CPU isolation, and CPU-SSD affinity, and moreover, storage housekeeping protocols like SMART should be improved to avoid long tail latency. © 2018 IEEE.
URI
http://hdl.handle.net/20.500.11750/8975
DOI
10.1109/ISPASS.2018.00010
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Lee, Sungjin Data-Intensive Computing Systems Laboratory
  • Research Interests Computer System, System Software, Storage System, Non-volatile Memory, Flash-based SSD, Distributed Storage Systems
Files:
There are no files associated with this item.
Collection:
Department of Information and Communication EngineeringData-Intensive Computing Systems Laboratory2. Conference Papers


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE