Abstract: Techniques for managing dataset resource instance performance via a data-centric approach are disclosed. A system determines an aggregated level of service demands placed on individual dataset resource instances that may be in a distributed computing system. The system may identify portions of a dataset that are associated with high levels of service demands. Once identified, the system may provide an administrator with the service demand information. The administrator may relocate these high demand dataset portions to other dataset resource instances that are better able to respond to the high levels of demand without impaired performance.