Scientific applications like neuroscience data analysis are usually compute and data-intensive. With the use of the additional capacity offered by distributed resources and suitab...
Suraj Pandey, William Voorsluys, Mustafizur Rahman...
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Stream grids are wide-area grid computing environments that are fed by a set of stream data sources. Such grids are becoming more wide-spread due to the large scale deployment of ...
Virtual machines provide flexible, powerful execution environments for Grid computing, offering isolation and security mechanisms complementary to operating systems, customization...
Ivan Krsul, Arijit Ganguly, Jian Zhang, José...
The emerging cyberinfrastructure holds the promise to provide on-demand access to high performance network resources, computing resources, and data storage/retrieval resources fro...
Tharaka Devadithya, Kim Baldridge, Adam Birnbaum, ...