Proposal for an optimal job allocation method for data-intensive applications based on multiple costs balancing in a hybrid cloud environment

Yumiko Kasae, Masato Oguchi. Proposal for an optimal job allocation method for data-intensive applications based on multiple costs balancing in a hybrid cloud environment. In The 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC '13, Kota Kinabalu, Malaysia - January 17 - 19, 2013. pages 5, ACM, 2013. [doi]

@inproceedings{KasaeO13,
  title = {Proposal for an optimal job allocation method for data-intensive applications based on multiple costs balancing in a hybrid cloud environment},
  author = {Yumiko Kasae and Masato Oguchi},
  year = {2013},
  doi = {10.1145/2448556.2448561},
  url = {http://doi.acm.org/10.1145/2448556.2448561},
  researchr = {https://researchr.org/publication/KasaeO13},
  cites = {0},
  citedby = {0},
  pages = {5},
  booktitle = {The 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC '13, Kota Kinabalu, Malaysia - January 17 - 19, 2013},
  publisher = {ACM},
  isbn = {978-1-4503-1958-4},
}