Data Sharing Options for Scientific Workflows on Amazon EC2
Efficient data management is a key component in achieving good performance for scientific workflows in distributed environments. Workflow applications typically communicate data between tasks using files. When tasks are distributed, these files are either transferred from one computational node to another, or accessed through a shared storage system. In grids and clusters, workflow data is often stored on network and parallel file systems. In this paper the authors investigate some of the ways in which data can be managed for workflows in the cloud.