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  • 标题:Statistical Analysis of Disk Drives Performance with Application Directed Prefetching Approach
  • 本地全文:下载
  • 作者:Javed hussain ; Ilyas Khan
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:12
  • 出版社:S&S Publications
  • 摘要:Modern magnetic disks are, as is well known, dramatically slower at random reads than sequentialreads. Technological progress has exacerbated the problem; disk throughput has increased by a factor of 60 to 85 overthe past twenty-five years, but seek times have decreased by a factor of only 15. Disks are less and less like randomaccess devices in terms of performance. Although flash memory reduces the cost differential of random accesses, diskscontinue to offer vast amounts of inexpensive storage. For the foreseeable future, it will remain important to optimizethe performance of applications that access disk like devices that is, devices with much faster sequential than randomaccess. The best solution to this performance problem is to avoid critical path disk access altogether and readingunneeded data as sequential access and discarding it later.
  • 关键词:Infill; Libprefetch; Seek; Readahead; StridedAccess ;Sqlite
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