Please submit manuscripts in either of the following two submission systems

    ScholarOne Manuscripts

  • ScholarOne
  • 勤云稿件系统

  • 登录

Search by Issue

  • 2024 Vol.31
  • 2023 Vol.30
  • 2022 Vol.29
  • 2021 Vol.28
  • 2020 Vol.27
  • 2019 Vol.26
  • 2018 Vol.25
  • 2017 Vol.24
  • 2016 vol.23
  • 2015 vol.22
  • 2014 vol.21
  • 2013 vol.20
  • 2012 vol.19
  • 2011 vol.18
  • 2010 vol.17
  • 2009 vol.16
  • No.1
  • No.2

Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

期刊网站二维码
微信公众号二维码
Related citation:DIAO Ying,YAO Nian-min.Analysis models and methods on the network storage system I/O performance[J].Journal of Harbin Institute Of Technology(New Series),2012,19(4):37-42.DOI:10.11916/j.issn.1005-9113.2012.04.007.
【Print】   【HTML】   【PDF download】   View/Add Comment  Download reader   Close
←Previous|Next→ Back Issue    Advanced Search
This paper has been: browsed 1254times   downloaded 1147times 本文二维码信息
码上扫一扫!
Shared by: Wechat More
Analysis models and methods on the network storage system I/O performance
Author NameAffiliation
DIAO Ying Computer Application Technology, College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China 
YAO Nian-min Computer Application Technology, College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China 
Abstract:
Network storage provides high scalability, availability and flexibility for storage systems, and is widely applied to many fields. Particularly, I/O performance is of great significance. Its application is wide and expanding rapidly. I/O performance has already become the bottleneck of the whole performance of computer systems for a long time, and under the condition of the present computer technology, I/O performance optimization method looks especially important. In the paper, I/O performance model was analyzed based on the combination of quasi birth, death process and queuing model, and then solved the model. A number of important related performance indicators and the relationship between them were given. By the way of example, this method can show the I/O performance more accurately. Finally, we got some useful conclusions, which may be used to evaluate network storage performance, and are the basis of confirming I/O scheduling strategy.
Key words:  I/O performance, queuing model, quasi birth and death process, network storage
DOI:10.11916/j.issn.1005-9113.2012.04.007
Clc Number:
Fund:

LINKS