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Studying the Complexity of User Analysis tasks
In this report we present our results for the measurement of complexity involving analysis tasks. We combine different metrics of analysis tasks such as the number of cores used, the execution time and the size of the datasets involved. With this we postulate a metric of task complexity. The resulti...
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| Lenguaje: | eng |
| Publicado: |
2022
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| Acceso en línea: | http://cds.cern.ch/record/2824904 |
| Sumario: | In this report we present our results for the measurement of complexity involving analysis tasks. We combine different metrics of analysis tasks such as the number of cores used, the execution time and the size of the datasets involved. With this we postulate a metric of task complexity. The resulting metric can be used to group different tasks due to an accidental stratification produced in the data. |
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