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CCGRID
2008
IEEE
16 years 15 days ago
Data Management Challenges of Data-Intensive Scientific Workflows
Scientific workflows play an important role in today’s science. Many disciplines rely on workflow technologies to orchestrate the execution of thousands of computational tasks. ...
Ewa Deelman, Ann L. Chervenak
CONCURRENCY
2006
142views more  CONCURRENCY 2006»
15 years 6 months ago
A Grid service broker for scheduling e-Science applications on global data Grids
: The next generation of scientific experiments and studies, popularly called e-Science, is carried out by large collaborations of researchers distributed around the world engaged ...
Srikumar Venugopal, Rajkumar Buyya, Lyle J. Winton
HPDC
2010
IEEE
15 years 7 months ago
Comparison of resource platform selection approaches for scientific workflows
Cloud computing is increasingly considered as an additional computational resource platform for scientific workflows. The cloud offers opportunity to scale-out applications from d...
Yogesh L. Simmhan, Lavanya Ramakrishnan
CLOUDCOM
2010
Springer
15 years 4 months ago
Applying Twister to Scientific Applications
Many scientific applications suffer from the lack of a unified approach to support the management and efficient processing of large-scale data. The Twister MapReduce Framework, whi...
Bingjing Zhang, Yang Ruan, Tak-Lon Wu, Judy Qiu, A...
ETFA
2006
IEEE
16 years 2 days ago
Cost-based Deployment Planning for Components in Smart Item Environments
Middleware for smart items can facilitate the coordinated execution of distributed components for early data processing. These components can be deployed to different nodes in the...
Jürgen Anke, Klaus Kabitzsch