I/O Feature-based File Prefetching for Multiapplications
Applications such as multimedia, date miningand scientific computing may exhibit sophisticated data access patterns that are different from one application to another. I/O prefetching is considered to be effective in improving I/O performance. However, the efficiency depends on identification of patterns for future I/O accesses, which is difficult to achieve in multi-application environment. This paper presents the design, implementation, and evaluation of an I/O feature-based prefetching strategy (FFP) for multiple application systems. The key idea of FFP is to extract I/O features from the collected file access information to guide prefetching. We first analyzed the I/O access patterns and designed a simple and effective feature notation to represent patterns. Then we developed a toolkit to generate and update I/O features automatically. Finally, we designed and implemented an I/O feature-based file prefetching thread library for the multiapplication environment. Experimental results show that the proposed prefetching mechanism (FFP) improves I/O performance significantly for applications with complex I/O data access patterns.
I/O access patterns I/O prefetching I/O feature I/O performance
Haiyan Hu Yi Liu Depei Qian
School of Computer Science Beihang University Beijing, 100191, P.R.China
国际会议
The Ninth International Conference on Grid and Cloud Computing(第九届网格与云计算国际学术会议 GCC 2010)
南京
英文
213-217
2010-11-01（万方平台首次上网日期，不代表论文的发表时间）