A Multi-objective Approach for Workflow Scheduling in Heterogeneous Environments
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
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Commercial distributed systems such as Clouds are managed by selfish providers that strategically try to increase their revenues regardless of the utility of other providers and users. These selfish behaviors affect the efficiency of using such environments. In this paper, based on a general game theoretic truthful reverse auction mechanism, we investigate the scheduling problem of dependent tasks on distributed Cloud resources owned by selfish providers. The social cost of the game is to minimize the make span and monetary cost simultaneously. Extensive simulation experiments show that the schedules obtained are approximately Pareto optimal.