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• W143243449 abstract "The rapidly increasing number of XML-related applications indicates a growing need for efficient, dynamic, and native XML support in database management systems (XDBMS). So far, both industry and academia primarily focus on benchmarking of high-level performance figures for a variety of applications, queries, or documents – frequently executed in artificial workload scenarios – and, therefore, may analyze and compare only specific or incidental behavior of the underlying systems. To cover the full XDBMS support, it is mandatory to benchmark performance-critical components bottom-up, thereby removing bottlenecks and optimizing component behavior. In this way, wrong conclusions are avoided when new techniques such as tailored XML operators, index types, or storage mappings with unfamiliar performance characteristics are used. As an experience report, we present what we have learned from benchmarking a native XDBMS and recommend certain setups to do it in a systematic and meaningful way." @default.
• W143243449 created "2016-06-24" @default.
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• W143243449 date "2009-01-01" @default.
• W143243449 modified "2023-09-25" @default.
• W143243449 title "Benchmarking Performance-Critical Components in a Native XML Database System" @default.
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• W143243449 doi "https://doi.org/10.1007/978-3-642-04205-8_7" @default.
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