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Understanding Grid resource information management through a synthetic database benchmark/workload.

, , , , , , and . CCGRID, page 277-284. IEEE Computer Society, (2004)

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Effectiveness of Hybrid Workflow Systems for Computational Science., , , , and . ICCS, volume 9 of Procedia Computer Science, page 508-517. Elsevier, (2012)Dynamic Querying of Streaming Data with the dQUOB System., and . IEEE Trans. Parallel Distributed Syst., 14 (4): 422-432 (2003)Karma2: Provenance Management for Data-Driven Workflows, , and . International Journal of Web Services Research (IJWSR), 5 (2): 1--22 (2008)IF 0.371, CORE C.Query capabilities of the Karma provenance framework, , and . Concurrency and Computation: Practice & Experience, Special Issue on The First Provenance Challenge, 20 (5): 441--451 (April 2008)IF 0.636, CORE A.Data Management in Dynamic Environment-driven Computational Science, , , and . Grid-Based Problem Solving Environments, volume 239 of IFIP Advances in Information and Communication Technology, page 317--333. Springer Boston, (2007)Pacific Rim Applications and Grid Middleware Assembly (PRAGMA): International clouds for data science., and . Concurr. Comput. Pract. Exp., (2017)Transparency and Reproducibility Practice in Large-Scale Computational Science: A Preface to the Special Section., and . IEEE Trans. Parallel Distributed Syst., 32 (11): 2607-2608 (2021)Democratization of AI: Challenges of AI Cyberinfrastructure and Software Research., , and . e-Science, page 1-3. IEEE, (2023)Multi-level steering in distributed laboratories., and . SPDT, page 162. ACM, (1998)CCGRID 2023: A Holistic Approach to Inclusion and Belonging., , , , , , and . CCGrid, page 684-685. IEEE, (2023)