Meta-learning based architectural and algorithmic optimization for achieving green-ness in predictive workload analytics

Nidhi Singh, Shrisha Rao. Meta-learning based architectural and algorithmic optimization for achieving green-ness in predictive workload analytics. In Sung Y. Shin, José Carlos Maldonado, editors, Proceedings of the 28th Annual ACM Symposium on Applied Computing, SAC '13, Coimbra, Portugal, March 18-22, 2013. pages 1169-1176, ACM, 2013. [doi]

@inproceedings{SinghR13-0,
  title = {Meta-learning based architectural and algorithmic optimization for achieving green-ness in predictive workload analytics},
  author = {Nidhi Singh and Shrisha Rao},
  year = {2013},
  doi = {10.1145/2480362.2480582},
  url = {http://doi.acm.org/10.1145/2480362.2480582},
  researchr = {https://researchr.org/publication/SinghR13-0},
  cites = {0},
  citedby = {0},
  pages = {1169-1176},
  booktitle = {Proceedings of the 28th Annual ACM Symposium on Applied Computing, SAC '13, Coimbra, Portugal, March 18-22, 2013},
  editor = {Sung Y. Shin and José Carlos Maldonado},
  publisher = {ACM},
  isbn = {978-1-4503-1656-9},
}