We present QoS experiments done in an advanced object store that supports the local execution of code on objects. We show how by giving di.erent levels of resources to di.erent objects, we are able to o.er considerable improvement in the performance of the more-important objects, at the expense of the less-important objects. We created two tiers: Gold for premium objects, and Silver for standard objects. We present a workload on which we achieve a running time improvement of 33.5 percent for Gold objects. This is done at the expense of the performance given to Silver objects. The resource parameters we manipulate are the level of redundancy and CPU resources.