Vertical Partitioning in Object Oriented Databases Using Intelligent Agents
Object Oriented DataBases (OODBs) have gained a considerable attention mainly because they reduce the gap between real world concepts and data representation models. The world surrounding one generates various types of data in abundance. The partitioning of related objects should be performed before clustering for an efficient access in object oriented databases. In databases, the clustering of data is needed to store and retrieve related data together. Generally the clustering of data can be divided into two phases. In the first phase partitioning of related data is done. The second phase is rearrange data in the partition block so that data which are more likely accessed together are located closely to increase the performance.