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Data-intensive architecture for scientific knowledge discovery

, , , , , , , and . Distributed and Parallel Databases, 30 (5-6): 307--324 (2012)

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Data-intensive architecture for scientific knowledge discovery, , , , , , , and . Distributed and Parallel Databases, 30 (5-6): 307--324 (2012)Execution Models for Mobile Data Analytics., , , , and . IT Prof., 19 (3): 24-30 (2017)Federated Enactment of Workflow Patterns., , , , , and . Euro-Par (1), volume 6271 of Lecture Notes in Computer Science, page 317-328. Springer, (2010)Issues of Establishing a Campus-wide Computational Grid Infrastructure in the GERANIUM Project., , , , , and . ICN/ICONS/MCL, page 5. IEEE Computer Society, (2006)Optimizing Workflow Task Clustering Using Reinforcement Learning., , , and . IEEE Access, (2021)Device-centric adaptive data stream management and offloading for analytics applications in future internet architectures., , , , , , and . Future Gener. Comput. Syst., (2021)Towards optimising distributed data streaming graphs using parallel streams., , , and . HPDC, page 725-736. ACM, (2010)Data-Intensive Workflow Optimization Based on Application Task Graph Partitioning in Heterogeneous Computing Systems., , , , and . BDCloud, page 129-136. IEEE Computer Society, (2014)Optimisation of the enactment of fine-grained distributed data-intensive work flows.. University of Edinburgh, UK, (2012)British Library, EThOS.