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Object-Oriented Database Benchmarks
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Author(s): Jerome Darmont (Universite Lumiere, France)and Michel Schneider (Universite Blaise Pascal, France)
Copyright: 2002
Pages: 24
Source title:
Advanced Topics in Database Research, Volume 1
Source Author(s)/Editor(s): Keng Siau (City University of Hong Kong, Hong Kong SAR)
DOI: 10.4018/978-1-930708-41-9.ch003
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Abstract
We present in this chapter an overview of the benchmarks aimed at evaluating the performances of Object-Oriented Databases (OODBs). We particularly focus on the Object-Clustering Benchmark (OCB), which is both generic and originally designed to specifically evaluate the performances of clustering policies within OODBs. OCB is generic because its sample database may be customized to fit any of the databases introduced by the main previous benchmarks, e.g., Object Operation 1 (OO1) or OO7. The first version of OCB was purposely clustering-oriented due to a clustering-oriented workload, but OCB has been thoroughly extended to be able to suit other purposes. Eventually, OCB’s code is compact and easily portable. OCB has been validated through two implementations: one within the O2 OODB and another one within the Texas persistent object store. The performances of two different clustering policies implemented in Texas, Dynamic, Statistical, Tunable Clustering (DSTC) and Detection & Reclustering of Objects (DRO), have also been compared with OCB.
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