Deep Reinforcement Learning based Elasticity-compatible Heterogeneous Resource Management for Time-critical Computing

Zixia Liu, Liqiang Wang, Gang Quan. Deep Reinforcement Learning based Elasticity-compatible Heterogeneous Resource Management for Time-critical Computing. In José Nelson Amaral, Lizy Kurian John, Xipeng Shen, editors, ICPP 2020: 49th International Conference on Parallel Processing, Edmonton, AB, Canada, August 17-20, 2020. ACM, 2020. [doi]

@inproceedings{LiuWQ20,
  title = {Deep Reinforcement Learning based Elasticity-compatible Heterogeneous Resource Management for Time-critical Computing},
  author = {Zixia Liu and Liqiang Wang and Gang Quan},
  year = {2020},
  doi = {10.1145/3404397.3404475},
  url = {https://doi.org/10.1145/3404397.3404475},
  researchr = {https://researchr.org/publication/LiuWQ20},
  cites = {0},
  citedby = {0},
  booktitle = {ICPP 2020: 49th International Conference on Parallel Processing, Edmonton, AB, Canada, August 17-20, 2020},
  editor = {José Nelson Amaral and Lizy Kurian John and Xipeng Shen},
  publisher = {ACM},
  isbn = {978-1-4503-8816-0},
}