Tractor Pulling on Data Warehouse

Year: 
2011
Publication Date: 
Monday, 13 June, 2011
Published in: 
4th International Workshop on Testing Database Systems (DBTest 2011)
Authors: 
Martin Kersten (CWI), Alfons Kemper (TUM), Volker Markl (TU Berlin), Anisoara Nica (Sybase, an SAP Company), Meikel Poess (Oracle), Kai-Uwe Sattler (TU Ilmenau)

This paper was published in Proceedings of 4th International Workshop on Testing Database Systems (DBTest 2011), June 13, 2011, Athens, Greece.

Abstract: 

Robustness of database systems under stress is hard to quantify, because there are many factors involved, most notably the user expectation to perform a job within certain bounds of the user requirements. Nevertheless, robustness of database system is very important to end users. In this paper we develop a database benchmark suite, inspired by tractor pulling, where robustness is measured as a system's ability to process data despite a continuous increase in system load, as defined in terms of data volume, query volume and complexity. A functional evaluation is performed against several systems to highlight the benchmark capabilities.

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