Titlebook: Conceptual Modeling; 38th International C Alberto H. F. Laender,Barbara Pernici,José Palazzo Conference proceedings 2019 Springer Nature Sw

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Capturing Multi-level Models in a Two-Level Formal Modeling Techniquer classes) and a level of instances. Multi-level conceptual modeling extends the conventional two-level scheme by admitting that types can be instances of other types, giving rise to multiple levels of classification. Nevertheless, the vast majority of tools and techniques are still confined to the

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Requirements-Driven Visualizations for Big Data Analytics: A Model-Driven Approach up with enormous difficulties in doing so. There are currently many different (i) Big Data sources and also (ii) many different visual analytics to be chosen. Every visualization technique is not valid for every Big Data source and is not adequate for every context. In order to tackle this problem,

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Don’t Tune Twice: Reusing Tuning Setups for SQL-on-Hadoop Querieshas inspired automated tuning advisors which profile the query workload and produce tuning setups for the low-level MapReduce jobs. Yet with highly dynamic query workloads, repeated re-tuning costs time and money in IaaS environments. In this paper, we focus on reducing the costs for up-front tuning