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Fault-tolerant Workflow Scheduling using Spot Instances on Clouds
2014
Procedia Computer Science
Scientific workflows are used to model applications of high throughput computation and complex large scale data analysis. In recent years, Cloud computing is fast evolving as the target platform for such applications among researchers. Furthermore, new pricing models have been pioneered by Cloud providers that allow users to provision resources and to use them in an efficient manner with significant cost reductions. In this paper, we propose a scheduling algorithm that schedules tasks on Cloud
doi:10.1016/j.procs.2014.05.047
fatcat:vjox7ljzlndupmoun5wvds52b4