Estimating the job's pending time on a High-Performance Computing cluster through a hierarchical data-driven methodology

Fabio Carfi, Enrica Capitelli, Vladi Massimo Nosenzo, Tania Cerquitelli. Estimating the job's pending time on a High-Performance Computing cluster through a hierarchical data-driven methodology. In Kostas Stefanidis, Patrick Marcel, editors, Proceedings of the 23rd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP) co-located with the 24th International Conference on Extending Database Technology and the 24th International Conference on Database Theory (EDBT/ICDT 2021), Nicosia, Cyprus, March 23, 2021. Volume 2840 of CEUR Workshop Proceedings, pages 21-30, CEUR-WS.org, 2021. [doi]

@inproceedings{CarfiCNC21,
  title = {Estimating the job's pending time on a High-Performance Computing cluster through a hierarchical data-driven methodology},
  author = {Fabio Carfi and Enrica Capitelli and Vladi Massimo Nosenzo and Tania Cerquitelli},
  year = {2021},
  url = {http://ceur-ws.org/Vol-2840/paper4.pdf},
  researchr = {https://researchr.org/publication/CarfiCNC21},
  cites = {0},
  citedby = {0},
  pages = {21-30},
  booktitle = {Proceedings of the 23rd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP) co-located with the 24th International Conference on Extending Database Technology and the 24th International Conference on Database Theory (EDBT/ICDT 2021), Nicosia, Cyprus, March 23, 2021},
  editor = {Kostas Stefanidis and Patrick Marcel},
  volume = {2840},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}