Enhanced State History Tree (eSHT): A Stateful Data Structure for Analysis of Highly Parallel System Traces

Loic Prieur-Drevon, Raphaël Beamonte, Naser Ezzati Jivan, Michel R. Dagenais. Enhanced State History Tree (eSHT): A Stateful Data Structure for Analysis of Highly Parallel System Traces. In Calton Pu, Geoffrey C. Fox, Ernesto Damiani, editors, 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27 - July 2, 2016. pages 83-90, IEEE, 2016. [doi]

@inproceedings{Prieur-DrevonBJ16,
  title = {Enhanced State History Tree (eSHT): A Stateful Data Structure for Analysis of Highly Parallel System Traces},
  author = {Loic Prieur-Drevon and Raphaël Beamonte and Naser Ezzati Jivan and Michel R. Dagenais},
  year = {2016},
  doi = {10.1109/BigDataCongress.2016.19},
  url = {http://dx.doi.org/10.1109/BigDataCongress.2016.19},
  researchr = {https://researchr.org/publication/Prieur-DrevonBJ16},
  cites = {0},
  citedby = {0},
  pages = {83-90},
  booktitle = {2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27 - July 2, 2016},
  editor = {Calton Pu and Geoffrey C. Fox and Ernesto Damiani},
  publisher = {IEEE},
  isbn = {978-1-5090-2622-7},
}