RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances. Li, B., Roy, R. B., Patel, T., Gadepally, V., Gettings, K., & Tiwari, D. CoRR, 2022.
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances [link]Paper  doi  bibtex   
@article{DBLP:journals/corr/abs-2207-11434,
  author       = {Baolin Li and
                  Rohan Basu Roy and
                  Tirthak Patel and
                  Vijay Gadepally and
                  Karen Gettings and
                  Devesh Tiwari},
  title        = {{RIBBON:} Cost-Effective and QoS-Aware Deep Learning Model Inference
                  using a Diverse Pool of Cloud Computing Instances},
  journal      = {CoRR},
  volume       = {abs/2207.11434},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2207.11434},
  doi          = {10.48550/ARXIV.2207.11434},
  eprinttype    = {arXiv},
  eprint       = {2207.11434},
  timestamp    = {Mon, 05 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2207-11434.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0