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File System Workload Analysis for Large Scale Scientific Computing Applications (2004)
| Content Provider | CiteSeerX |
|---|---|
| Author | Wang, Feng Xin, Qin Hong, Bo Brandt, Scott A. Miller, Ethan L. Long, Darrell D. E. Mclarty, Tyce T. |
| Description | In Proceedings of the 21st IEEE / 12th NASA Goddard Conference on Mass Storage Systems and Technologies Parallel scientific applications require high-performance I/O support from underlying file systems. A comprehensive understanding of the expected workload is therefore essential for the design of high-performance parallel file systems. We re-examine the workload characteristics in parallel computing environments in the light of recent technology advances and new applications. |
| File Format | |
| Language | English |
| Publisher Date | 2004-01-01 |
| Access Restriction | Open |
| Subject Keyword | High-performance Parallel File System Large Scale Scientific Computing Application Recent Technology Advance Comprehensive Understanding New Application File System Workload Characteristic Parallel Scientific Application Expected Workload File System Workload Analysis |
| Content Type | Text |
| Resource Type | Article |
