Reducing Consumed Data Volume in Bandwidth Measurements via a Machine Learning Approach

Christian Maier, Peter Dorfinger, Jia Lei Du, Sven Gschweitl, Johannes Lusak. Reducing Consumed Data Volume in Bandwidth Measurements via a Machine Learning Approach. In Stefano Secci, Isabelle Chrisment, Marco Fiore, Lionel Tabourier, Keun Woo Lim, editors, Network Traffic Measurement and Analysis Conference, TMA 2019, Paris, France, June 19-21, 2019. pages 215-220, IEEE, 2019. [doi]

@inproceedings{MaierDDGL19,
  title = {Reducing Consumed Data Volume in Bandwidth Measurements via a Machine Learning Approach},
  author = {Christian Maier and Peter Dorfinger and Jia Lei Du and Sven Gschweitl and Johannes Lusak},
  year = {2019},
  doi = {10.23919/TMA.2019.8784575},
  url = {https://doi.org/10.23919/TMA.2019.8784575},
  researchr = {https://researchr.org/publication/MaierDDGL19},
  cites = {0},
  citedby = {0},
  pages = {215-220},
  booktitle = {Network Traffic Measurement and Analysis Conference, TMA 2019, Paris, France, June 19-21, 2019},
  editor = {Stefano Secci and Isabelle Chrisment and Marco Fiore and Lionel Tabourier and Keun Woo Lim},
  publisher = {IEEE},
  isbn = {978-3-903176-17-1},
}