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Selective and Recurring Re-computation of Big Data Analytics Tasks: Insights from a Genomics Case Study
16 references·0 citing·44 second hop
Selective and Recurring Re-computation of Big Data Analytics Tasks: Insights from a Genomics Case Study (2018)Selective and Recurring Re-computation of…Diagnosing Machine Learning Pipelines with Fine-grained Lineage (2017)Diagnosing Machine Learning P…A survey on provenance: What for? What form? What from? (2017)A survey on provenance: What …Tracking and Analyzing the Evolution of Provenance from Scripts (2016)Tracking and Analyzing the Ev…Reproducibility of Data-Oriented Experiments in e-Science (Dagstuhl Seminar 16041) (2016)Reproducibility of Data-Orien…Analyzing Provenance Across Heterogeneous Provenance Graphs (2016)Analyzing Provenance Across H…A framework for scientific workflow reproducibility in the cloud (2016)A framework for scientific wo…Workflow provenance (2015)Workflow provenanceProceedings of the 10th Workshop on Workflows in Support of Large-Scale Science (2015)Proceedings of the 10th Works…Implementing Reproducible Research (2014)Implementing Reproducible Res…2014 9th Workshop on Workflows in Support of Large-Scale Science (2014)2014 9th Workshop on Workflow…Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science (2013)Proceedings of the 8th Worksh…Optimized Rollback and Re-computation (2013)Optimized Rollback and Re-com…Predicting the Execution Time of Workflow Activities Based on Their Input Features (2012)Predicting the Execution Time…Fine-grained and efficient lineage querying of collection-based workflow provenance (2010)Fine-grained and efficient li…Provenance Collection Support in the Kepler Scientific Workflow System (2006)Provenance Collection Support…Scientific workflow management and the Kepler system (2005)Scientific workflow managemen…The origins of intelligence in children. (1952)The case for motivated reasoning. (1990)Why Most Published Research Findings Are False (2005)Scientific workflows for computational reproducibility in the life sciences: Status, challenges and opportunities (2017)Exploratory Research (2020)Towards reproducible computational drug discovery (2020)A survey of data provenance in e-science (2005)Taverna: lessons in creating a workflow environment for the life sciences (2005)Scientific workflow design for mere mortals (2008)A Reference Architecture for Scientific Workflow Management Systems and the VIEW SOA Solution (2009)Layering in provenance systems (2009)Workflows and e-Science: An overview of workflow system features and capabilities (2008)Time-bound analytic tasks on large datasets through dynamic configuration of workflows (2013)TRANSLATING ENGINEERING WORKFLOW MODELS TO DEVS FOR PERFORMANCE EVALUATION (2018)Infrastructure-level Support for GPU-Enabled Deep Learning in DATAVIEW (2022)Workflow Management (2002)Workflow Patterns (2003)Provenance and scientific workflows (2008)FireWorks: a dynamic workflow system designed for high‐throughput applications (2015)Kepler: An Extensible System for Design and Execution of Scientific Workflows (2004)VisTrails (2006)Provenance for Computational Tasks: A Survey (2008)Fine-Grained Provenance Collection over Scripts Through Program Slicing (2016)ProvDB: Provenance-enabled Lifecycle Management of Collaborative Data Analysis Workflows. (2018)Why-Diff: Exploiting Provenance to Understand Outcome Differences From Non-Identical Reproduced Workflows (2019)Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences (2010)An introduction to Docker for reproducible research (2015)Utilizing Provenance in Reusable Research Objects (2018)Reproducibility of Computational Experiments on Kubernetes-Managed Container Clouds with HyperFlow (2020)Scientific workflow execution in the cloud using a dynamic runtime model (2023)Beyond Accuracy: What Data Quality Means to Data Consumers (1996)Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)The fallacy of inscrutability (2018)FAIR Computational Workflows (2019)This Thing Called Fairness (2019)Search, adapt, and reuse (2011)Provenance and data differencing for workflow reproducibility analysis (2013)Approximated Summarization of Data Provenance (2015)Increasing Reproducibility in IR (2016)Reproducibility of studies on text mining for citation screening in systematic reviews: Evaluation and checklist (2017)Learning from reproducing computational results: introducing three principles and the Reproduction Package (2021)Applications of provenance in performance prediction and data storage optimisation (2017)Cloud infrastructure provenance collection and management to reproduce scientific workflows execution (2017)Static analysis of Taverna workflows to predict provenance patterns (2017)
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References

  • 2005Scientific workflow management and the Kepler system1,681 cited
  • 2014Implementing Reproducible Research313 cited
  • 2017A survey on provenance: What for? What form? What from?298 cited
  • 2006Provenance Collection Support in the Kepler Scientific Workflow System272 cited
  • 2016Reproducibility of Data-Oriented Experiments in e-Science (Dagstuhl Seminar 16041)67 cited
  • 2010Fine-grained and efficient lineage querying of collection-based workflow provenance53 cited
  • 2012Predicting the Execution Time of Workflow Activities Based on Their Input Features50 cited
  • 2016A framework for scientific workflow reproducibility in the cloud29 cited
  • 2016Tracking and Analyzing the Evolution of Provenance from Scripts19 cited
  • 2013Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science18 cited
  • 2017Diagnosing Machine Learning Pipelines with Fine-grained Lineage17 cited
  • 2016Analyzing Provenance Across Heterogeneous Provenance Graphs15 cited
  • 2013Optimized Rollback and Re-computation9 cited
  • 2015Workflow provenance8 cited
  • 2015Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science7 cited

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  • 20142014 9th Workshop on Workflows in Support of Large-Scale Science7 cited
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