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Workload characteristics of DNA sequence analysis: from storage systems' perspective
| Content Provider | ACM Digital Library |
|---|---|
| Author | Kim, Dongoh Lim, Kyeongyeol Choi, Minsuk Kim, Hongyeon Won, Youjip Park, Geehan |
| Abstract | The recent development of NGS (Next Generation Sequencing) methods has greatly increased the amount of genome data and created the need for high-performance computing and high-performance storage systems. The key issue in developing high-performance storage systems is building a storage system that is optimized for NGS analysis pipeline. In this paper, we implemented a tool to collect and analyze I/O workload in NGS analysis pipeline. Using this tool, we executed NGS analysis pipeline and analyzed the characteristics of I/Os collected in the experiment. |
| Starting Page | 1 |
| Ending Page | 7 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781450324717 |
| DOI | 10.1145/2555486.2555490 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-01-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | I/o workload analysis Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
