77 citations · 139 across the 5 of their papers we have counts for
5 papers
Realizing Fast, Scalable and Reliable Scientific Computations in Grid Environments
Yong Zhao, Ioan Raicu, Ian Foster +3
The practical realization of managing and executing large scale scientific computations efficiently and reliably is quite challenging. Scientific computations often involve thousan…
Accelerating Large-scale Data Exploration through Data Diffusion
Ioan Raicu, Yong Zhao, Ian Foster +1
Data-intensive applications often require exploratory analysis of large datasets. If analysis is performed on distributed resources, data locality can be crucial to high throughput…
Scientific Workflow Systems for 21st Century e-Science, New Bottle or New Wine?
Yong Zhao, Ioan Raicu, Ian Foster
With the advances in e-Sciences and the growing complexity of scientific analyses, more and more scientists and researchers are relying on workflow systems for process coordination…
Data Diffusion: Dynamic Resource Provision and Data-Aware Scheduling for Data Intensive Applications
Ioan Raicu, Yong Zhao, Ian Foster +1
Data intensive applications often involve the analysis of large datasets that require large amounts of compute and storage resources. While dedicated compute and/or storage farms o…
The QuarkNet/Grid Collaborative Learning e-Lab
M. Bardeen, E. Gilbert, T. Jordan +4
We describe a case study that uses grid computing techniques to support the collaborative learning of high school students investigating cosmic rays. Students gather and upload sci…