Dynamic performance optimization mechanism for parallel object-oriented database programming languages

Discusses dynamic performance optimization mechanisms for parallel object-oriented database programming languages. When a large number of objects are distributed on a distributed-memory parallel processor, referencing a remote object requires inter-processor communication. If those objects are not allocated properly, it may cause total performance degradation. When those objects are allocated with a biased distribution among the processing elements, it may cause a load imbalance. However, the information necessary for relocating objects must be obtained at run time, since the number of objects on a processor and the topology of the objects in a database are unknown at compilation time. This paper proposes a new approach to dynamic performance optimization method, and evaluates the results through simulation tests