Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems

Daniele Foroni, Cristian Axenie, Stefano Bortoli, Mohamad Al Hajj Hassan, Ralph Acker, Radu Tudoran, Goetz Brasche, Yannis Velegrakis. Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems. In MalĂș Castellanos, Panos K. Chrysanthis, Badrish Chandramouli, Shimin Chen, editors, Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2018, Rio de Janeiro, Brazil, August 27, 2018. ACM, 2018. [doi]

@inproceedings{ForoniABHATBV18,
  title = {Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems},
  author = {Daniele Foroni and Cristian Axenie and Stefano Bortoli and Mohamad Al Hajj Hassan and Ralph Acker and Radu Tudoran and Goetz Brasche and Yannis Velegrakis},
  year = {2018},
  doi = {10.1145/3242153.3242160},
  url = {https://doi.org/10.1145/3242153.3242160},
  researchr = {https://researchr.org/publication/ForoniABHATBV18},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2018, Rio de Janeiro, Brazil, August 27, 2018},
  editor = {MalĂș Castellanos and Panos K. Chrysanthis and Badrish Chandramouli and Shimin Chen},
  publisher = {ACM},
}