A parallel extension for existing relational database management systems

The considerable growth of online document searching and consulting brings many data providers to reconsider their database management system (DBMS) capacities. Parallel DBMSs then appear as a good solution, but the involved changes in administration and costs limit their breakthrough. To overcome these drawbacks, we propose a hybrid structure which adapts a parallel extension to an existing DBMS. This extension cuts down the amount of work of a sequential DBMS by parallelizing the incoming queries over a network of workstations. To allow this parallel execution, data are replicated over the stations according to a specific strategy. We describe this strategy and then examine the parallel query optimization