Method Induced Partitioning Schemes for Object-Oriented Databases

Kamalakar Karlapalem, Qing Li, Stefan Vieweg

Abstract: Object-oriented database systems are becoming popular and are being used in a large number of application domain. Many of these application domains are inherently distributed. The focus of this work is on articulating the concepts of method induced partitioning schemes in object-oriented databases by understanding and classifying the object behavior embodied by the methods. We provide a solution for supporting fragmentation transparency by using method transformation. Finally, we present guidelines for method induced partitioning in object-oriented databases.