Gaussian Mixture Models vs. Fuzzy Rule-Based Systems for Adaptive Meta-scheduling in Grid/Cloud Computing

Rocío Pérez de Prado, Jan Braun, Johannes Krettek, Frank Hoffmann 0001, Sebastian García Galán, J. Enrique Muñoz Expósito, Torsten Bertram. Gaussian Mixture Models vs. Fuzzy Rule-Based Systems for Adaptive Meta-scheduling in Grid/Cloud Computing. In Jorge Casillas, Francisco J. Martínez-López, Juan Manuel Corchado Rodríguez, editors, Management Intelligent Systems - First International Symposium, IS-MiS 2012, Salamanca, Spain, July 11-13, 2012. Volume 171 of Advances in Intelligent Systems and Computing, pages 295-304, Springer, 2012. [doi]

@inproceedings{PradoBK0GEB12,
  title = {Gaussian Mixture Models vs. Fuzzy Rule-Based Systems for Adaptive Meta-scheduling in Grid/Cloud Computing},
  author = {Rocío Pérez de Prado and Jan Braun and Johannes Krettek and Frank Hoffmann 0001 and Sebastian García Galán and J. Enrique Muñoz Expósito and Torsten Bertram},
  year = {2012},
  doi = {10.1007/978-3-642-30864-2_28},
  url = {https://doi.org/10.1007/978-3-642-30864-2_28},
  researchr = {https://researchr.org/publication/PradoBK0GEB12},
  cites = {0},
  citedby = {0},
  pages = {295-304},
  booktitle = {Management Intelligent Systems - First International Symposium, IS-MiS 2012, Salamanca, Spain, July 11-13, 2012},
  editor = {Jorge Casillas and Francisco J. Martínez-López and Juan Manuel Corchado Rodríguez},
  volume = {171},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-642-30863-5},
}