Skip to Main Content
Federated Grid resources typically span multiple administrative domains and utilize heterogeneous schedulers. This complexity complicates not only provisioning of quality of service but also management and enforcement of end-user resource utilization allocations. to overcome these problems, we propose to combine high-level meta-scheduling techniques with lower-level fairs hare prioritization mechanisms to create a framework that improves end-user quality of service in heterogeneous distributed computing environments. to illustrate the approach we present a prototype architecture based on two existing systems, the meta-scheduling framework SA-Layer and the distributed fairs hare prioritization system Aequus. the proposed architecture constitutes a predictive meta-scheduling architecture that performs fair user-level scheduling prioritization and enacts resource utilization quotas, whilst also providing synergetic effects that improve the performance of the individual system components. to characterize the contribution, the proposed system is evaluated on a test bed consisting of geographically dispersed, heterogeneous computing resources spanning multiple administration domains.