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Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows †
Scientific computing heavily relies on data shared by the community, especially in distributed data-intensive applications. This research focuses on predicting slow connections that create bottlenecks in distributed workflows. In this study, we analyze network traffic logs collected between January...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300713/ https://www.ncbi.nlm.nih.gov/pubmed/37420657 http://dx.doi.org/10.3390/s23125485 |