Regression models to predict the resource usage of MapReduce application
MapReduce applications are used to process big data. Therefore, the prediction of the resource usage of MapReduce applications is crucially needed. In this paper, we construct multiple linear regression models to predict the resource usage parameters of MapReduce applications.
Elmentve itt :
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| Testületi szerző: | |
| Dokumentumtípus: | Könyv része |
| Megjelent: |
2018
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| Sorozat: | Conference of PhD Students in Computer Science
11 |
| Kulcsszavak: | MapReduce, Programozás, Számítástechnika |
| Online Access: | http://acta.bibl.u-szeged.hu/61796 |
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| 041 | |a zxx | ||
| 100 | 1 | |a Li Yangyuan | |
| 245 | 1 | 0 | |a Regression models to predict the resource usage of MapReduce application |h [elektronikus dokumentum] / |c Li Yangyuan |
| 260 | |c 2018 | ||
| 300 | |a 173-175 | ||
| 490 | 0 | |a Conference of PhD Students in Computer Science |v 11 | |
| 520 | 3 | |a MapReduce applications are used to process big data. Therefore, the prediction of the resource usage of MapReduce applications is crucially needed. In this paper, we construct multiple linear regression models to predict the resource usage parameters of MapReduce applications. | |
| 695 | |a MapReduce, Programozás, Számítástechnika | ||
| 700 | 0 | 1 | |a Do Tien Van |e aut |
| 710 | |a Conference of PhD students in computer science (11.) (2018) (Szeged) | ||
| 856 | 4 | 0 | |u http://acta.bibl.u-szeged.hu/61796/1/cscs_2018_186-188.pdf |z Dokumentum-elérés |