Proposing an Architecture for Scientific Workflow Management System in Cloud

With the growth in IT infrastructure and advances in technologies, workflow scheduling poses many challenging issues for complex applications which require many computing resources. Hence, there is a requirement of a workflow management system adaptable with many cloud environments due to the heterogeneity of resources and applications. In this paper, we have proposed a general workflow management system architecture and a scientific workflow model, followed by a model for monitoring tool in the cloud environment, based on a comprehensive study of literature in cloud computing.