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Workflows for eScience: Scientific Workflows for Grids

, , , , , and . chapter Dynamic, Adaptive Workflows for Mesoscale Meteorology, page 126--142. Springer London, (2007)
DOI: 10.1007/978-1-84628-757-2_9

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On Using Complex Event Processing for Dynamic Demand Response Optimization in Microgrid., , and . CoRR, (2013)Distributed Scheduling of Event Analytics across Edge and Cloud., and . CoRR, (2016)Toward Reliable and Rapid Elasticity for Streaming Dataflows on Clouds., and . ICDCS, page 1096-1106. IEEE Computer Society, (2018)Guest Editorial: Scientific Workflows, Provenance and Their Applications, , and . International Journal of Computers and Their Applications (IJCA), 18 (3): 130-132 (September 2011)Smart Communication of Energy Use and Prediction in a Smart Grid Software Architecture, , and . Energy Forum: A System Approach Toward Green Energy Production and Adaptive Power Distribution, IEEE Coastal Los Angeles Section, (November 2010)Poster.GoFFish : A Framework for Distributed Analytics Over Timeseries Graphs, , , , , , , and . 13-936. University of Southern California, Computer Science Department, (2013)The Open Provenance Model (v1.01), , , , , , , , , and 8 other author(s). 16148. Intelligence, Agents, Multimedia Group, University of Southampton, (July 2008)PROV-AQ: Provenance Access and Query, , , , , , , , and . World Wide Web Consortium (W3C), (2011)Cloud-Based Software Platform for Big Data Analytics in Smart Grids., , , , , , and . Comput. Sci. Eng., 15 (4): 38-47 (2013)Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources., , , , and . CCGRID, page 473-483. IEEE, (2022)