Dynamic and Fault-Tolerant Clustering for Scientific Workflows

@article{Chen2016DynamicAF,
  title={Dynamic and Fault-Tolerant Clustering for Scientific Workflows},
  author={Weiwei Chen and Rafael Ferreira da Silva and Ewa Deelman and Thomas Fahringer},
  journal={IEEE Transactions on Cloud Computing},
  year={2016},
  volume={4},
  pages={49-62}
}
Task clustering has proven to be an effective method to reduce execution overhead and to improve the computational granularity of scientific workflow tasks executing on distributed resources. However, a job composed of multiple tasks may have a higher risk of suffering from failures than a single task job. In this paper, we conduct a theoretical analysis of the impact of transient failures on the runtime performance of scientific workflow executions. We propose a general task failure modeling… CONTINUE READING
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