File:Fig3 Schulz JofPathInformatics2016 7.jpg

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Summary
Description |
Figure 3. Disk throughput and processor efficiency of Docker containers. (a) The time needed to write a one-gigabyte file with the dd utility was similar in both a virtual machine and within a Docker container on the same host. (b) The calculation of 10,000 primes with the sysbench utility showed similar performance in a virtual machine and a Docker container on the same host. |
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Source |
Schulz, W.L.; Durant, T.; siddon, A.J.; Torres, R. (2016). "Use of application containers and workflows for genomic data analysis". Journal of Pathology Informatics 7: 53. doi:10.4103/2153-3539.197197. |
Date |
2016 |
Author |
Schulz, W.L.; Durant, T.; siddon, A.J.; Torres, R. |
Permission (Reusing this file) |
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported |
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This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. |
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current | 00:43, 17 January 2017 | ![]() | 712 × 946 (139 KB) | Shawndouglas (talk | contribs) |
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