期刊文献+

一种基于存取粒度的固态盘性能评价体系

An Evaluation System of Solid State Disk Performance Based on Access Granularity
下载PDF
导出
摘要 为了直观、全面地评价固态盘性能,提出加权虚拟转数(Weighted-vRPM)的概念,用以分析硬盘和固态盘的存储特性。固态盘在不同存取粒度下性能存在较大差异。利用某环境下粒度的分布及存取频度情况,计算加权值;将固态盘不同粒度下的IOPS值乘以加权值,得到Weighted-vRPM值,即固态盘相当于多少转硬盘。计算结果表明,该方法能真实反映固态盘的性能。 In order to evaluate the performance of solid state disk(SSD), the weighted virtual revolutions per minute (Weighted-vRPM) is proposed to analyze HDD and SSD storage characteristics. There is greal difference of differ ent access granularity performance of SSD. Using size distribution and access frequency of a certain environment, the weighted value can he calculated; the Weighted-vRPM value is equal to the weight multiplied hy the SSD IOPS in the different size, which is the RPM compared to HDD. Calculations show that this method can reflect the perform ance of SSD.
作者 李锴 陈端芝
出处 《新乡学院学报》 2014年第2期35-37,40,共4页 Journal of Xinxiang University
基金 福建省教育厅科技项目(JB11191)
关键词 虚拟转数 固态盘 输入输出 s 粒度 频度 vRPM SSD IOPS granularity frequency
  • 相关文献

参考文献7

二级参考文献74

  • 1刘冬,王丽芳,蒋泽军,刘志强.RAID小数据随机访问性能分析与优化[J].计算机应用,2009,29(2):421-423. 被引量:3
  • 2Nitin Agrawal,Vijiayan Prabhakaran,Ted Wobber Design Tradeoffs for SSD performance[C].ln proceeding of the USENIX Annua Conference (USENIX' 08). USA: Boston 57-70 Technica MA. 2008. 被引量:1
  • 3Eran FaI,Sivan Toledo. Algorithms and Data Structures for Flash Memories[J].ACM Computing Surveys, 2005,37(2). 138-163. 被引量:1
  • 4Tae-Sun Chung, Dong-Joo Park,Sangwon Park, et al.System Software for Flash Memory,A Survey International Federation for Information Processing 2006. EUC 2006. Korea, Seoul. 2006:394-404. 被引量:1
  • 5Alan R.Olson,Denis J.Langlois. Solid State Drives Data Reliability and Lifetime[J/OL].[2010-03-10]. http://www, imation, com/PageFiles/83/SSD Reliability-Lifetime-White-Paper. pdf. 被引量:1
  • 6Chen F, Lee R, Zhang X. Essential roles of exploit internal parallelism of flash memory based solid state dri in high-speed data processing [C] //Proc of the 17th IEEE lng ves Int Symp on High Performance Computer Architecture. Piscataway, NJ: IEEE, 2011: 266-277. 被引量:1
  • 7Hu Y, Jiang H, Feng D, et al. Performance impact and interplay of SSD parallelism through advanced commands, allocation strategy and data granularity [C] //Proc of the Int Conf on Supercomputing. New York: ACM, 2011:96-107. 被引量:1
  • 8Josephson W K, Bongo L A, Flynn D, et al. DFS: A file system for virtualized flash storage [C] //Proc of the 8th USENIX Conf on File and Storage Technologies. Berkeley: USENIX Association, 2010:85-99. 被引量:1
  • 9Zhang Y, Arulraj L P, Arpaci-Dusseau A C, et aI. De- indirection for flash-based SSDs with nameless writes [C] // Proe of the 10th USENIX Conf on File and Storage Technologies. Berkeley= USENIX Association, 2012: 1-16. 被引量:1
  • 10Nellans D, Zappe M, Axboe J, et al. ptrim() + exists() Exposing new FTL primitives to applications [C/OL]. 2011 [2012-09-01]. http://david, nellans, org/files/NVMW-2011. pdf. 被引量:1

共引文献55

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部