Data Sharing Options for Scientific Workflows on Amazon EC2

Gideon Juve, Ewa Deelman, Karan Vahi, Gaurang Mehta, Bruce Berriman, Benjamin P. Berman, Phil Maechling
2010 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis  
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 we investigate some of the ways in which
more » ... ata can be managed for workflows in the cloud. We ran experiments using three typical workflow applications on Amazon's EC2. We discuss the various storage and file systems we used, describe the issues and problems we encountered deploying them on EC2, and analyze the resulting performance and cost of the workflows.
doi:10.1109/sc.2010.17 dblp:conf/sc/JuveDVMBBM10 fatcat:iye43g47xzcqnhzyb44nirsibq