Runtime reorganization of parallel and distributed expert database systems
Hasanat M. Dewan · 1994
In the last decade and half, scientific and commercial databases have grown at a fast pace as increasingly many enterprises have begun offering and using databasecentered services. Concomitantly, new application requirements have placed unusual processing demands on existing databases. Many researchers believe that next generation database systems will be required to provide efficient and scalable facilities for high level inference and complex query processing. In this thesis, we address the efficiency and scalability problem in the context of Database Rule Processing Systems (DRPS). We propose a scalable strategy for the efficient parallel processing of rule programs applied to massive databases. We introduce predictive load balancing techniques in a synchronous model of rule execution, where the variance in runtime of the distributed sites is minimized per cycle of rule processing, thus incr...