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Service Architectures for e-Science Grid Gateways: Opportunities and Challenges.

, , and . OTM Conferences (2), volume 4804 of Lecture Notes in Computer Science, page 1179-1185. Springer, (2007)

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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)Democratization of AI: Challenges of AI Cyberinfrastructure and Software Research., , and . e-Science, page 1-3. IEEE, (2023)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)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.Pacific Rim Applications and Grid Middleware Assembly (PRAGMA): International clouds for data science., and . Concurr. Comput. Pract. Exp., (2017)CCGRID 2023: A Holistic Approach to Inclusion and Belonging., , , , , , and . CCGrid, page 684-685. IEEE, (2023)Run-time Detection in Parallel and Distributed Systems: Application to Safety-Critical Systems., and . ICDCS, page 163-170. IEEE Computer Society, (1999)Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD., , , , , , and . International Conference on Computational Science (2), volume 3515 of Lecture Notes in Computer Science, page 624-631. Springer, (2005)Hierarchical MapReduce Programming Model and Scheduling Algorithms., and . CCGRID, page 769-774. IEEE Computer Society, (2012)