The paper presents a technique for performing dynamic goal-oriented buffer pool management for database management systems. To dynamically adjust the buffer pool sizes for the multiple buffer pools provided by database management systems is a complex constrained optimization problem. In the goal-oriented approach, the user specifies each buffer pool's random access response time goal and the total available number of buffers for all buffer pools. The problem is to dynamically expand or contract the buffer pool sizes based on the database workload to achieve these pre-defined response time goals for each buffer pool while maintaining the same total number of buffers in the database system. Our goal satisfaction algorithm monitors goal satisfaction of each buffer pool and periodically changes buffer pool sizes to improve goal satisfaction. The expansion and contraction process does not allocate new or free up existing virtual storage. We demonstrate that dynamic tuning can greatly improve buffer pool goal satisfaction through trace driven simulations.