QoS Constraint Based Workflow Scheduling for Cloud Computing Services

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QoS constraint based workflow scheduling described by Directed Acyclic Graph (DAG) has been proved to be a NP-hard problem in cloud computing services, especially for cost minimization under deadline constraint. Due to Deadline Bottom Level (DBL) hasn't considered the concurrence during the real executing process that cause much more shatter time to solve such problem, this paper proposes a novel heuristics approach of Concurrent Level based Workflow Scheduling (CLWS). It stratifies all the tasks according to the concurrence among tasks in the actual workflow execution.

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