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To develop scientific applications, workflow systems have become an efficient and easy vehicle. These systems use the resource provisioning, on-demand virtualized resources technology provided by Cloud computing. These virtualized resources are dynamically added and removed and users have to pay in accordance to the usage of these resources. The main issue that arises here is to decide allocation of resources to various tasks of workflow and their scheduling. As cost and execution time of applications is affected by the amount of allocated resources. In this paper the main focus is on strategies that handles workflow scheduling. There is an extensive study of such policies used in Cloud environment and also their thorough classification.

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