Dynamic reorganization of object databases

We consider the problem of optimizing the number of I/O operations by means of an effective clustering with the objective to overcome deficiencies of existing solutions. Our objective is to dynamically adapt physical database organizations, on-line, according to the access patterns of the users without adding significant overhead on processing workload. We propose a clustering schedule that may be convenient for any Object Database Management Systems-ODBMS; it combines flexibility, dynamics, and efficiency. This paper describes relative partial validation of our approach using Versant.