Owing to the increase in both heterogeneity and complexity in today’s networking systems, the need arises for an architecture for network-based services that provides flexibilit...
Christos Chrysoulas, Evangelos Haleplidis, Robert ...
Grid computing technologies enable large-scale aggregation and sharing of resources via wide-area networks focused on sharing computational, data, and other resources to form gener...
We present a study of six batch-pipelined scientific workloads that are candidates for execution on computational grids. Whereas other studies focus on the behavior of single app...
Douglas Thain, John Bent, Andrea C. Arpaci-Dusseau...
Sparsity of target space in subsurface imaging problem is used within the framework of the compressive sensing (CS) theory in recent publications to decrease the data acquisition ...
We survey three examples of large-scale scientific workflows that we are working with at Cornell: the Arecibo sky survey, the CLEO high-energy particle physics experiment, and t...
William Y. Arms, Selcuk Aya, Manuel Calimlim, Jim ...