Scientific Workflow Management System for Clouds
Maria A. Rodriguez; Rajkumar Buyya Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Australia
Abstract
Infrastructure-as-a-Service clouds offer access to a scalable virtualized infrastructure on a pay-per-use basis. This is greatly beneficial for the deployment of scientific workflows, and as a result considerable effort is being made to develop and update existing workflow management systems to support the cloud resource model. The majority of existing systems are designed to work with traditional distributed platforms such as grids and clusters in which the resources are limited and readily-available. ...
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