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Opportunistic prioritised clustering framework for improving OODBMS performance

He, Z.; Lai, Richard; Marquez, A; Blackburn, Stephen


In object oriented database management systems, clustering has proven to be one of the most effective performance enhancement techniques. Existing clustering algorithms are mainly static, that is re-clustering the object base when the database is off-line. However, this type of re-clustering cannot be used when 24-h database access is required. In such situations dynamic clustering is necessary, since it can re-cluster the object base while the database is in operation. We find that most...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Journal article
Source: Journal of Systems Architecture
DOI: 10.1016/j.jss.2006.04.017


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