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The coming of big data era seriously challenges many traditional database techniques and it also explains the popularity of NoSQL databases, Cassandra, for example. Storing data in these NoSQL databases is a prerequisite for applying some popular large-scale data processing frameworks such as Hadoop or Spark. In this paper, we propose a model transformation approach that transforms class diagrams...
Space mapping (SM) is a recognized method for speeding up electromagnetic (EM) optimization. Existing SM approaches are mostly based on sequential computation mechanism. This paper proposes a parallel SM method for EM optimization. In the proposed method, the surrogate model developed in each iteration is trained to match the fine model at multiple points simultaneously. Multi-point training and SM...
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