Abstract
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 we present CubeLoad, a parametric generator of workloads in the form of OLAP sessions, based on a realistic profile-based model. After describing the main features of CubeLoad, we discuss the results of some tests that show how workloads with very different features can be generated. © 2014 Springer International Publishing.
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CITATION STYLE
Rizzi, S., & Gallinucci, E. (2014). CubeLoad: A parametric generator of realistic OLAP workloads. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8484 LNCS, pp. 610–624). Springer Verlag. https://doi.org/10.1007/978-3-319-07881-6_41
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