Dynamic Resource-Critical Workflow Scheduling in Heterogeneous Environments

Effective workflow scheduling is a key but challenging issue in heterogeneous environments due to the heterogeneity and dynamism. Based on the observations that not all tasks can run on all resources and acquired data transferring and queuing for a resource can be concurrent, we propose a dynamic resource-critical workflow scheduling algorithm which take into consideration the environmental heterogeneity and dynamism. We evaluate its performance by simulations and show that it outperforms another selected widely used approach.