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Big Data Applications Using Workflows for Data Parallel Computing
3 references·1 citing·13 second hop
Big Data Applications Using Workflows for Data Parallel Computing (2014)Big Data Applications Using Workflows for…Heterogeneous composition of models of computation (2008)Heterogeneous composition of …Workflows For E-Science: Scientific Workflows For Grids (2007)Workflows For E-Science: Scie…Scientific workflow management and the Kepler system (2005)Scientific workflow managemen…A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows (2019)A demonstration of modularity…Workflow Management (2002)Workflow Patterns (2003)Provenance and scientific workflows (2008)FireWorks: a dynamic workflow system designed for high‐throughput applications (2015)Taverna: lessons in creating a workflow environment for the life sciences (2005)Examining the Challenges of Scientific Workflows (2007)Provenance for MapReduce-based data-intensive workflows (2011)A Framework for Distributed Data-Parallel Execution in the Kepler Scientific Workflow System (2012)Challenges and approaches for distributed workflow-driven analysis of large-scale biological data (2012)Kepler: An Extensible System for Design and Execution of Scientific Workflows (2004)Workflows and e-Science: An overview of workflow system features and capabilities (2008)The design and realisation of the Virtual Research Environment for social sharing of workflows (2008)Reproducibility in Scientific Computing (2018)
this work references cited by second hop

References

  • 2005Scientific workflow management and the Kepler system1,681 cited
  • 2007Workflows For E-Science: Scientific Workflows For Grids514 cited
  • 2008Heterogeneous composition of models of computation62 cited

Cited by

  • 2019A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows8 cited

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