Optimal and Feasible Cloud Resource Configurations Generation Method for Genomic Analytics Applications

Katsunori Miura, Courtney Powell, Masaharu Munetomo. Optimal and Feasible Cloud Resource Configurations Generation Method for Genomic Analytics Applications. In 2018 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2018, Nicosia, Cyprus, December 10-13, 2018. pages 137-144, IEEE Computer Society, 2018. [doi]

@inproceedings{MiuraPM18,
  title = {Optimal and Feasible Cloud Resource Configurations Generation Method for Genomic Analytics Applications},
  author = {Katsunori Miura and Courtney Powell and Masaharu Munetomo},
  year = {2018},
  doi = {10.1109/CloudCom2018.2018.00037},
  url = {https://doi.org/10.1109/CloudCom2018.2018.00037},
  researchr = {https://researchr.org/publication/MiuraPM18},
  cites = {0},
  citedby = {0},
  pages = {137-144},
  booktitle = {2018 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2018, Nicosia, Cyprus, December 10-13, 2018},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-7899-2},
}