—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...
: The “Grid” is an emerging infrastructure for coordinating access across autonomous organizations to distributed, heterogeneous computation and data resources. Data grids are ...
A key goal of grid computing is to provide seamless access to shared computational and data resources across organizational boundaries, in distributed virtual organizations. Grid ...
Onur Demir, Michael R. Head, Kanad Ghose, Madhusud...
Sampling is crucial for controlling resource consumption by internet traffic flow measurements. Routers use Packet Sampled NetFlow [9], and completed flow records are sampled in...
We present an initial report on using our distributed, collaborative grid enabled visualization environment to link SuperComputing 2004 (Pittsburgh, PA, USA) with the Cardiff Scho...