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Using IVML to model the topology of big data processing ...
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由 H Eichelberger 著作2016被引用 26 次 — In this paper, we discuss these challenges and demonstrate how advanced variability modeling capabilities can be used to directly model the topology of ...
Using IVML to Model the Topology of Big Data Processing Pipelines
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We also show how such processing pipelines can be modeled, configured and validated using the Integrated Variability Modeling Language (IVML). Show more.
Using IVML to Model the Topology of Big Data Processing ...
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We also show how such processing pipelines can be modeled, configured and validated using the Integrated Variability Modeling Language (IVML). ResearchGate Logo.
Using IVML to model the topology of big data processing ...
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This paper demonstrates how advanced variability modeling capabilities can be used to directly model the topology of processing pipelines as well as their ...
Using IVML to model the topology of big data
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由 H Eichelberger 著作2016被引用 26 次 — In this paper, we focus on Big Data as an application area for topological variability modeling, in particular on data processing pipelines, ...
Using IVML to model the topology of big data processing pipelines ...
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We also show how such processing pipelines can be modeled, configured and validated using the Integrated Variability Modeling Language (IVML).
Jeong-Hyon Hwang, Magdalena Balazinska, | Request PDF
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2024年11月21日 — Discover more about: Data Processing. Conference Paper. Using IVML to Model the Topology of Big Data Processing Pipelines. September 2016.
Publication type: Conference Proceeding - Marketplace
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Using IVML to model the topology of big data processing pipelines. Eichelberger, Holger;Qin, Cui;Sizonenko, Roman;Schmid, Klaus. the 20th International ...
Holger Eichelberger
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Using IVML to model the topology of big data processing pipelines. H Eichelberger, C Qin, R Sizonenko, K Schmid. Proceedings of the 20th International Systems ...
University of Hildesheim | Mathematik, Naturwissenschaften ...
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In this paper, we discuss these challenges and demonstrate how advanced variability modeling capabilities can be used to directly model the topology of ...