@InProceedings{horstmann19framework,
  author       = {Horstmann, Leonardo Passig and Hoffmann, Jos{\'e} Luis Conradi and Fr{\"o}hlich, Ant{\^o}nio Augusto},
  booktitle    = {2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
  date         = {2019},
  title        = {A Framework to Design and Implement Real-time Multicore Schedulers using Machine Learning},
  organization = {IEEE},
  pages        = {251--258},
  comment      = {* \# I just read this to find out more about the framework for
  non-intrusive and low-overhead for data collection and manipulation
  mentioned in horstmann20fault

* builds on sensors and event counters present in modern hardware

  * e.g., Performance Monitoring Unit (PMU)
  * e.g., thermal sensors
  * e.g., energy monitoring
  * e.g., dynamic voltage and frequency scaling

* can be used for fault injection (e.g., as in horstmann20fault)
* not many more details on implementation
* measured overhead

  * <= 0.0003583%
  * <= 40 µs added Jitter for real-time tasks},
  file         = {:horstmann19framework - A Framework to Design and Implement Real-time Multicore Schedulers using Machine Learning.pdf:PDF},
  timestamp    = {2021-03-27},
}

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