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Performance database: capturing data for optimizing distributed streaming workflows
8 references·0 citing·26 second hop
Performance database: capturing data for optimizing distributed streaming workflows (2011)Performance database: capturing data for …Towards optimising distributed data streaming graphs using parallel streams (2010)Towards optimising distribute…The pathologies of big data (2009)The pathologies of big dataThe Fourth Paradigm: Data-Intensive Scientific Discovery (2009)The Fourth Paradigm: Data-Int…Jim Gray on eScience: a transformed scientific method. (2009)Jim Gray on eScience: a trans…Gray's laws: database-centric computing in science. (2009)Gray's laws: database-centric…Workflows and e-Science: An overview of workflow system features and capabilities (2008)Workflows and e-Science: An o…Taverna/myGrid: Aligning a Workflow System with the Life Sciences Community (2007)Taverna/myGrid: Aligning a Wo…Examining the Challenges of Scientific Workflows (2007)Examining the Challenges of S…Science in an exponential world (2006)Beyond the Data Deluge (2009)Data Management for High-Throughput Genomics (2009)Big Data Infrastructures for Processing Sentinel Data (2015)The data warehouse toolkit: practical techniques for building dimensional data warehouses (1996)Big Data and supply chain management: a review and bibliometric analysis (2016)Data colonialism through accumulation by dispossession: New metaphors for daily data (2016)Algorithms at Work: The New Contested Terrain of Control (2019)Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)Towards Reliable, Performant Workflows for Streaming-Applications on Cloud Platforms (2011)Towards Reliable, Performant Workflows for Streaming-Applications on Cloud Platforms (2011)Exploring Molecular Evolution Reconstruction Using a Parallel Cloud Based Scientific Workflow (2012)Workflows For E-Science: Scientific Workflows For Grids (2007)Data Management Challenges of Data-Intensive Scientific Workflows (2008)The Open Provenance Model: An Overview (2008)GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond (2019)Armadillo 1.1: An Original Workflow Platform for Designing and Conducting Phylogenetic Analysis and Simulations (2012)HyperFlow: A model of computation, programming approach and enactment engine for complex distributed workflows (2015)Geospatial Cyberinfrastructure: Past, present and future (2010)A characterization of workflow management systems for extreme-scale applications (2017)Reproducibility in Scientific Computing (2018)From social data mining to forecasting socio-economic crises (2011)Scientific Workflows (2016)Who support open access publishing? Gender, discipline, seniority and other factors associated with academics’ OA practice (2017)Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter (2011)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)
this work references cited by second hop

References

  • 2009The Fourth Paradigm: Data-Intensive Scientific Discovery1,415 cited
  • 2008Workflows and e-Science: An overview of workflow system features and capabilities832 cited
  • 2009The pathologies of big data680 cited
  • 2007Examining the Challenges of Scientific Workflows517 cited
  • 2009Jim Gray on eScience: a transformed scientific method.261 cited
  • 2007Taverna/myGrid: Aligning a Workflow System with the Life Sciences Community93 cited
  • 2010Towards optimising distributed data streaming graphs using parallel streams55 cited
  • 2009Gray's laws: database-centric computing in science.22 cited

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