WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows

Xuechen Zhang, Hasan Abbasi, Kevin A. Huck, Allen D. Malony. WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows. In Michelle Connolly, editor, International Conference on Computational Science 2016, ICCS 2016, 6-8 June 2016, San Diego, California, USA. Volume 80 of Procedia Computer Science, pages 1507-1518, Elsevier, 2016. [doi]

@inproceedings{ZhangAHM16,
  title = {WOWMON: A Machine Learning-based Profiler for Self-adaptive Instrumentation of Scientific Workflows},
  author = {Xuechen Zhang and Hasan Abbasi and Kevin A. Huck and Allen D. Malony},
  year = {2016},
  doi = {10.1016/j.procs.2016.05.474},
  url = {http://dx.doi.org/10.1016/j.procs.2016.05.474},
  researchr = {https://researchr.org/publication/ZhangAHM16},
  cites = {0},
  citedby = {0},
  pages = {1507-1518},
  booktitle = {International Conference on Computational Science 2016, ICCS 2016, 6-8 June 2016, San Diego, California, USA},
  editor = {Michelle Connolly},
  volume = {80},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}