Renda-RX: a benchmark for evaluating XML-relational database system

Authors:
Xiao Zhang;Kuicheng Liu;Li Zou;Xiaoyong Du;Shan Wang
Affiliations:
Key Labs of Data Engineering and Knowledge Engineering and School of Information, Renmin University of China, Beijing, China;Key Labs of Data Engineering and Knowledge Engineering and School of Information, Renmin University of China, Beijing, China;Key Labs of Data Engineering and Knowledge Engineering and School of Information, Renmin University of China, Beijing, China;Key Labs of Data Engineering and Knowledge Engineering and School of Information, Renmin University of China, Beijing, China;Key Labs of Data Engineering and Knowledge Engineering and School of Information, Renmin University of China, Beijing, China
Venue:
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Year:
2011

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Abstract

This paper proposes a new benchmark, Renda-RX, for evaluating XML-Relational database management systems which can store and process both relational and XML data. To our knowledge, it is the first time to consider a performance benchmark on mixed data, although there are TPC series for relational data, and XBench, XMark, TPoX etc. for XML data. We summarize the requirements of a benchmark for database systems, and describe the construction of our benchmark. It includes scenario selection, data storage, transaction design and result report etc. Based on the benchmark design, we also develop a test tool and successfully get some performance results on a commercial XRDBMS, System-X.