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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haiyan Hu Yi Liu Depei Qian |
| Copyright Year | 2010 |
| Abstract | Applications such as multimedia, date mining- and 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 multi-application environment. Experimental results show that the proposed prefetching mechanism (FFP) improves I/O performance significantly for applications with complex I/O data access patterns. |
| Starting Page | 213 |
| Ending Page | 217 |
| File Size | 244172 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424493340 |
| DOI | 10.1109/GCC.2010.51 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-01 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | File systems Prefetching I/O access patterns I/O prefetching I/O feature Benchmark testing Feature extraction I/O performance Libraries Synchronization |
| Content Type | Text |
| Resource Type | Article |
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