DOEF: A dynamic object evaluation framework

Abstract. In object-oriented or object-relational databases such as mul-timedia 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 associ-ated 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 prelimi-nary prototype has been designed to be open and fully extensible. To illustrate the capabilities of DOEF, we used it to compare the perfor-mances 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