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- David Abramson, Blair Bethwaite, Colin Enticott, Slavisa Garic, Tom Peachey, Anushka Michailova, Saleh Amirriazi, Ramya Chitters:
Robust workflows for science and engineering.
- Eduardo S. Ogasawara, Daniel de Oliveira, Fernando Seabra Chirigati, Carlos Eduardo Barbosa, Renato N. Elias, Vanessa Braganholo, Alvaro L. G. A. Coutinho, Marta Mattoso:
Exploring many task computing in scientific workflows.
- Yunhong Gu, Robert L. Grossman:
Lessons learned from a year's worth of benchmarks of large data clouds.
- Dengpan Yin, Esma Yildirim, Tevfik Kosar:
A data throughput prediction and optimization service for widely distributed many-task computing.
- Andy Yoo, Ian Kaplan:
Evaluating use of data flow systems for large graph analysis.
- Xiaohong Qiu, Jaliya Ekanayake, Scott Beason, Thilina Gunarathne, Geoffrey C. Fox, Roger S. Barga, Dennis Gannon:
Cloud technologies for bioinformatics applications.
- Lei Wang, Jianfeng Zhan, Weisong Shi, Yi Liang, Lin Yuan:
In cloud, do MTC or HTC service providers benefit from the economies of scale?
- Daniel Warneke, Odej Kao:
Nephele: efficient parallel data processing in the cloud.
- Jörg Dümmler, Thomas Rauber, Gudula Rünger:
Scalable computing with parallel tasks.
- Rostand Costa, Francisco V. Brasileiro, Guido Lemos de Souza Filho, Dênio Mariz Sousa:
OddCI: on-demand distributed computing infrastructure.
- Lance Stout, Michael A. Murphy, Sebastien Goasguen:
Kestrel: an XMPP-based framework for many task computing applications.
- Christopher Moretti, Michael Olson, Scott J. Emrich, Douglas Thain:
Highly scalable genome assembly on campus grids.
- Paul Marshall, Matthew Woitaszek, Henry M. Tufo, Rob Knight, Daniel McDonald, Julia Goodrich:
Ensemble dispatching on an IBM Blue Gene/L for a bioinformatics knowledge environment.
- Constantinos Evangelinos, Pierre F. J. Lermusiaux, Jinshan Xu, Patrick J. Haley, Chris N. Hill:
Many task computing for multidisciplinary ocean sciences: real-time uncertainty prediction and data assimilation.
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