DOEF: A Dynamic Object Evaluation Framework

Zhen He (1) , Jérôme Darmont (2)

1 The Australian National University, Canberra, Australian Capital Territory, Australia
2 ERIC - Equipe de Recherche en Ingénierie des Connaissances

In object-oriented or object-relational databases such as multimedia databases or most XML databases, access patterns are not static, i.e., applications do not always access the same objects in the same order repeatedly. However, this has been the way these databases and associated optimisation techniques like clustering have been evaluated up to now. This paper opens up research regarding this issue by proposing a dynamic object evaluation framework (DOEF) that accomplishes access pattern change by defining configurable styles of change. This preliminary prototype has been designed to be open and fully extensible. To illustrate the capabilities of DOEF, we used it to compare the performances of four state of the art dynamic clustering algorithms. The results show that DOEF is indeed effective at determining the adaptability of each dynamic clustering algorithm to changes in access pattern.

Mots clés: Performance evaluation; Dynamic access patterns; Benchmarking; Object-oriented and object-relational databases; Clustering

Domaines: Base de données [cs.DB]

Zhen He, Jérôme Darmont. DOEF: A Dynamic Object Evaluation Framework. 14th International Conference on Database and Expert Systems Applications (DEXA 03), Sep 2003, Prague, Czech Republic. pp.662-671. ⟨hal-00145447⟩