Issue No. 01 - Jan.-Feb. (2016 vol. 20)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2016.15
Ewa Deelman , University of Southern California
Karan Vahi , University of Southern California
Mats Rynge , University of Southern California
Gideon Juve , University of Southern California
Rajiv Mayani , University of Southern California
Rafael Ferreira da Silva , University of Southern California
The Pegasus Workflow Management System maps abstract, resource-independent workflow descriptions onto distributed computing resources. As a result of this planning process, Pegasus workflows are portable across different infrastructures, optimizable for performance and efficiency, and automatically map to many different storage systems and data flows. This approach makes Pegasus a powerful solution for executing scientific workflows in the cloud.
Internet, Web services, Scientific computing, Power grids, Cloud computing, Distributed processing
E. Deelman, K. Vahi, M. Rynge, G. Juve, R. Mayani and R. F. da Silva, "Pegasus in the Cloud: Science Automation through Workflow Technologies," in IEEE Internet Computing, vol. 20, no. 1, pp. 70-76, 2016.