volume 5, issue 3, P269-287 1997
DOI: 10.1016/s0928-4869(96)00013-4
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Jérôme Darmont, Ammar Attoui, Michel Gourgand

Abstract: A good object clustering is critical to the performance of object-oriented databases.However, it always involves some kind of overhead for the system. The aim of this paper is to propose a modelling methodology in order to evaluate the performances of different clustering policies. This methodology has been used to compare the performances of three clustering algorithms found in the literature (Cactis, CK and ORION) that we considered representative of the current research in the field of object clustering. T…

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