No abstract

The paper introduces the problem of designing dynamic workload management (WM) tools that are aware of the diversity of classes of users and their diverse access patterns. Our approach should be contrasted with the current WM tools and their ability of detecting performance degradations in accordance with the user's preference goals. We define the problem and suggest a formal definition that allows the further development of algorithms and architectures that allow the implementation of effective on-line database tuning strategies.