Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets

Lauritz Thamsen, Ilya Verbitskiy, Jossekin Beilharz, Thomas Renner, Andreas Polze, Odej Kao. Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets. In IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2017, Hong Kong, December 11-14, 2017. pages 146-153, IEEE, 2017. [doi]

@inproceedings{ThamsenVBRPK17,
  title = {Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets},
  author = {Lauritz Thamsen and Ilya Verbitskiy and Jossekin Beilharz and Thomas Renner and Andreas Polze and Odej Kao},
  year = {2017},
  doi = {10.1109/CloudCom.2017.37},
  url = {http://doi.ieeecomputersociety.org/10.1109/CloudCom.2017.37},
  researchr = {https://researchr.org/publication/ThamsenVBRPK17},
  cites = {0},
  citedby = {0},
  pages = {146-153},
  booktitle = {IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2017, Hong Kong, December 11-14, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-0692-6},
}