Budget distribution strategies for scientific workflow scheduling in commercial clouds

@article{Arabnejad2016BudgetDS,
  title={Budget distribution strategies for scientific workflow scheduling in commercial clouds},
  author={Vahid Arabnejad and Kris Bubendorfer and Bryan Ng},
  journal={2016 IEEE 12th International Conference on e-Science (e-Science)},
  year={2016},
  pages={137-146}
}
Scientific research is increasingly reliant on big compute and big data, the fusion of which is known as data intensive science. Large scale scientific analyses are typically represented as workflows which are the typical model for characterizing e-science experiments in distributed systems. Workflows with a large number of tasks are distributed in parallel across computing resources to speed up analyses. The provision of compute capabilities is undergoing a rapid migration from dedicated… CONTINUE READING

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