CubeLoad: A Parametric Generator of Realistic OLAP Workloads

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Provided by: Springer Healthcare
Topic: Big Data
Format: PDF
Differently from OLTP workloads, OLAP workloads are hardly predictable due to their inherently extemporary nature. Besides, obtaining real OLAP workloads by monitoring the queries actually issued in companies and organizations is quite hard. On the other hand, hardware and software benchmarking in the industrial world, as well as comparative evaluation of novel approaches in the research community, both need reference databases and workloads. In this paper, the authors present CubeLoad, a parametric generator of workloads in the form of OLAP sessions, based on a realistic profile-based model.
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