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With the development of the cloud and grid computing, the cloud infrastructures and grids provide a platform for workflow applications. It is very essential to meet the requirements of users and to complete workflow scheduling efficiently. The scheduling of the workflow is limited by quality of service (QoS) parameters. Many scheduling algorithms have been proposed for the execution of workflow applications...
In recent years, there are many scheduling algorithms for execution of workflow applications using Quality of Service (QoS) parameters. In this paper, we improve a scheduling workflow algorithm considering the time and cost constraints on heterogeneous resources, which is called Budget-Deadline constrained using Sub-Deadline scheduling (BDSD). With the deadline and budget constraints required by the...
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