Abstract
Many scientific applications are often modeled as workflows. The data and computational resource requirements are high for such workflow applications. Cloud provides a better solution to this problem by offering the promising environment for the execution of these workflow. As it involves tremendous data computations and resources, there is a need to automate the entire process. Workflow management system serves this purpose by orchestrating workflow task and executing it on distributed resources. Pegasus is a well-known workflow management system that has been widely used in large-scale e-applications. This chapter provides an overview about the Pegasus Workflow Management System, describes the environmental setup with OpenStack and creation and execution of workflows in Pegasus, and discusses about the workflow scheduling in cloud with its issues.
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Kousalya, G., Balakrishnan, P., Pethuru Raj, C. (2017). Execution of Workflow Scheduling in Cloud Middleware. In: Automated Workflow Scheduling in Self-Adaptive Clouds. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-56982-6_6
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DOI: https://doi.org/10.1007/978-3-319-56982-6_6
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