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Meta-schedulers map jobs to computational resources that are part of a grid, such as clusters, that in turn have their own local job schedulers. Existing Grid meta-schedulers either target system-centric metrics, such as utilization and throughput, or prioritize applications based on utility metrics provided by the users. The system-centric approach gives less importance to users' individual utility, while the user-centric approach may have adverse effects such as poor system performance and unfair treatment of users. Therefore, this paper proposes a novel meta-scheduler, based on the well-known double auction mechanism that aims to satisfy users' service requirements as well as ensure balanced utilization of resources across a grid.
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