CubeLoad is a parametric generator of OLAP workloads. Its main features are: - No predefined multidimensional schema is used. The benchmarker can create a workload for any multidimensional schema provided it has been exported in XML compliant with the Mondrian format. - The workload is generated in the form of sessions, each including a variable number of aggregate queries. The main parameters used are related to a realistic profile-based workload model. - Sessions are generated according to a set of four templates, that model recurrent types of user analyses. - If an instance of the multidimensional schema is available (in particular, in the form of a set of dimension tables), its data are used for generating instance-dependent (hence, more realistic) workloads. - The generated workload is exported in XML to ensure maximum usability.
CubeLoad / Stefano Rizzi; Enrico Gallinucci. - ELETTRONICO. - (2014).
CubeLoad
RIZZI, STEFANO;GALLINUCCI, ENRICO
2014
Abstract
CubeLoad is a parametric generator of OLAP workloads. Its main features are: - No predefined multidimensional schema is used. The benchmarker can create a workload for any multidimensional schema provided it has been exported in XML compliant with the Mondrian format. - The workload is generated in the form of sessions, each including a variable number of aggregate queries. The main parameters used are related to a realistic profile-based workload model. - Sessions are generated according to a set of four templates, that model recurrent types of user analyses. - If an instance of the multidimensional schema is available (in particular, in the form of a set of dimension tables), its data are used for generating instance-dependent (hence, more realistic) workloads. - The generated workload is exported in XML to ensure maximum usability.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
