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http://hdl.handle.net/10609/70485
Title: | High Performance Computing workload traces standardization and characterization |
Author: | Pérez Llamazares, Eneko |
Tutor: | Guim Bernat, Francesc |
Others: | Universitat Oberta de Catalunya |
Abstract: | This project aims to provide a framework for workload traces analysis and characterization. By performing such analysis, the project tries to establish a standard to define the contents of a workload trace. Besides that, the resulting framework can provide analysis results than can help understanding the data, taking decisions, etc. While analyzing a very specific data set, we concluded that three major group of variables define most of the data set. We also detected a possible anomaly with the data due to abnormal high values in two variables. Finally, a prediction was performed against this data set and we were able to see how future data should be classified. |
Keywords: | workload data analysis HPC |
Document type: | info:eu-repo/semantics/bachelorThesis |
Issue Date: | 25-Jun-2017 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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eperezTFG2017memoria.pdf | 2,81 MB | Adobe PDF | View/Open | |
pca_google.zip | 2,63 kB | formato zip | View/Open | |
enekoperezTFG0118memoria.pdf | 2,81 MB | Adobe PDF | View/Open |
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