Difference between revisions of "File:Fig3 Schulz JofPathInformatics2016 7.jpg"

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==Summary==
{{Information
|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.
|Source={{cite journal |journal=Journal of Pathology Informatics |title=Use of application containers and workflows for genomic data analysis |author=Schulz, W.L.; Durant, T.; siddon, A.J.; Torres, R. |volume=7 |pages=53 |year=2016 |doi=10.4103/2153-3539.197197}}
|Author=Schulz, W.L.; Durant, T.; siddon, A.J.; Torres, R.
|Date=2016
|Permission=[http://creativecommons.org/licenses/by-nc-sa/3.0/ Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported]
}}
== Licensing ==
== Licensing ==
{{cc-by-nc-sa-3.0}}
{{cc-by-nc-sa-3.0}}

Latest revision as of 00:47, 17 January 2017

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.

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.

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Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported

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