Martin L. Kersten
Anisoara Nica
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.
- Transaction Processing Performance Council. TPC-C-On--line Transaction Processing Benchmark., http://www.tpc.org/tpcc/, 2011.Google Scholar
- Transaction Processing Performance Council. TPC-H - Ad--hoc, Decision Support Benchmark., http://www.tpc.org/tpch/, 2011.Google Scholar
- G. Graefe, A. C. König, H. A. Kuno, V. Markl, and K. Sattler. Robust Query Processing -- Summary and Abstracts Collection, number 10381 in Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, 2011.Google Scholar
Index Terms
- Tractor pulling on data warehouses
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