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Scientific workflow applications generally require various levels of computing power over the course of execution. The applications then often take advantage of Cloud computing due to its cost-effective, pay-as-you-go pricing model. However, the scientific workflow executions must be planned wisely in order to minimize total cost of the resource usage. In addition, lateness of completing some workflows...