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Displaying 1-5 out of 5 total
Comparing FutureGrid, Amazon EC2, and Open Science Grid for Scientific Workflows
Found in: Computing in Science & Engineering
By Gideon Juve,Mats Rynge,Ewa Deelman,Jens-S. Vockler,G. Bruce Berriman
Issue Date:July 2013
pp. 20-29
Scientists have many computing infrastructures available to conduct their research, including grids and public or private clouds. This article explores the use of these cyberinfrastructures to execute scientific workflows, an important class of scientific ...
Experiences Using GlideinWMS and the Corral Frontend across Cyberinfrastructures
Found in: eScience, IEEE International Conference on
By Mats Rynge,Gideon Juve,Gaurang Mehta,Ewa Deelman,Krista Larson,Burt Holzman,Igor Sfiligoi,Frank W├╝rthwein,G. Bruce Berriman,Scott Callaghan
Issue Date:December 2011
pp. 311-318
Even with Grid technologies, the main mode of access for the current High Performance Computing and High Throughput Computing infrastructures today is logging in via ssh. This mode of access locks scientists to particular machines as it is difficult to mov...
Evaluating I/O aware network management for scientific workflows on networked clouds
Found in: Proceedings of the Third International Workshop on Network-Aware Data Management (NDM '13)
By Anirban Mandal, Ewa Deelman, Ilya Baldin, Paul Ruth, Claris Castillo, Mats Rynge, Yufeng Xin
Issue Date:November 2013
pp. 1-10
This paper presents a performance evaluation of scientific workflows on networked cloud systems with particular emphasis on evaluating the effect of provisioned network bandwidth on application I/O performance. The experiments were run on ExoGENI, a widely...
Enabling large-scale scientific workflows on petascale resources using MPI master/worker
Found in: Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond (XSEDE '12)
By Ewa Deelman, Gaurang Mehta, Gideon Juve, Karan Vahi, Mats Rynge, Philip J. Maechling, Scott Callaghan
Issue Date:July 2012
pp. 1-8
Computational scientists often need to execute large, loosely-coupled parallel applications such as workflows and bags of tasks in order to do their research. These applications are typically composed of many, short-running, serial tasks, which frequently ...
Experiences using cloud computing for a scientific workflow application
Found in: Proceedings of the 2nd international workshop on Scientific cloud computing (ScienceCloud '11)
By Bruce Berriman, Ewa Deelman, Gideon Juve, Jens-Sonke Vockler, Mats Rynge
Issue Date:June 2011
pp. 15-24
Clouds are rapidly becoming an important platform for scientific applications. In this paper we describe our experiences running a scientific workflow application in the cloud. The application was developed to process astronomy data released by the Kepler ...