— Scientific applications often perform complex computational analyses that consume and produce large data sets. We are concerned with data placement policies that distribute dat...
Ann L. Chervenak, Ewa Deelman, Miron Livny, Mei-Hu...
cipal high-level goal of the research is to develop abstractions, theory and methodology and software tools that allow federal statistical agencies to disseminate useful informatio...
High performance Grid computing provides an infrastructure for access and processing of large volume, terabyte or even petabytes, of distributed data. Research in data grid has foc...
Selection of resources for execution of scientific workflows in data grids becomes challenging with the exponential growth of files as a result of the distribution of scientific e...
vices provide an important abstract layer on top of heterogeneous components (hardware and software) that take part into a grid environment. In this scenario, applications, like sc...