—Data grids, such as the ones used by the high energy physics community, are used to share vast amounts of data across geographic locations. However, interactions with grid data ...
Karolina Sarnowska, Andrew S. Grimshaw, Erwin Laur...
is a planning framework for mapping abstract workflows for execution on the Grid. This paper presents the implementation of a web-based portal for submitting workflows to the Grid...
Advances in Grid technology enable the deployment of data-intensive distributed applications, which require moving Terabytes or even Petabytes of data between data banks. The curr...
Silvia M. Figueira, Sumit Naiksatam, Howard J. Coh...
The Grid computing vision promises to provide the needed platform for a new and more demanding range of applications. For this promise to become true, a number of hurdles, includin...
Alexandru Iosup, Catalin Dumitrescu, Dick H. J. Ep...
The medical community is producing and manipulating a tremendous volume of digital data for which computerized archiving, processing and analysis is needed. Grid infrastructures ar...