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Introducing Distributed Dynamic Data-intensive (D3) Science: Understanding Applications and Infrastructure.

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Querying Provenance Information in Distributed Environments., , , and . I. J. Comput. Appl., 18 (3): 196-215 (2011)Building e-Science Portals: A Service Oriented Architecture., , , , , , , , , and 4 other author(s). High Performance Computing Workshop, volume 16 of Advances in Parallel Computing, page 149-166. IOS Press, (2006)Optimizations and Analysis of BSP Graph Processing Models on Public Clouds., , and . IPDPS, page 203-214. IEEE Computer Society, (2013)Cloud computing for data-driven science and engineering., , , and . Concurrency and Computation: Practice and Experience, 28 (4): 947-949 (2016)On Building Parallel & Grid Applications: Component Technology and Distributed Services., , , , , and . CLADE, page 44. IEEE Computer Society, (2004)Towards a Quality Model for Effective Data Selection in Collaboratories., , and . ICDE Workshops, page 72. IEEE Computer Society, (2006)RIoTBench: A Real-time IoT Benchmark for Distributed Stream Processing Platforms., , and . CoRR, (2017)GoFFish: A Sub-Graph Centric Framework for Large-Scale Graph Analytics., , , , , , and . CoRR, (2013)An Interoperable Realization of Smart Cities with Plug and Play based Device Management., , , , and . CoRR, (2015)A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade., , , , , , , , , and 15 other author(s). CoRR, (2017)