Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs

@article{Geldenhuys2020ChironOF,
  title={Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs},
  author={Morgan K. Geldenhuys and L. Thamsen and O. Kao},
  journal={2020 IEEE International Conference on Big Data (Big Data)},
  year={2020},
  pages={434-440}
}
Fault tolerance is a property which needs deeper consideration when dealing with streaming jobs requiring high levels of availability and low-latency processing even in case of failures where Quality-of-Service constraints must be adhered to. Typically, systems achieve fault tolerance and the ability to recover automatically from partial failures by implementing Checkpoint and Rollback Recovery. However, this is an expensive operation which impacts negatively on the overall performance of the… Expand

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