Abstract:With the development of heterogeneous distributed computing environment, workflow application scheduling has become an important and challenging problem while Quality of Service (QoS) guarantees are ensured for science workflows. In this paper, we first introduce an aggregation measure factor to balance the execution time and cost of workflow applications. Then, we propose an aggregation measure factor-based scheduling algorithm (AFSA) for workflow applications in a heterogeneous distributed environment. The p… Show more
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