Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
Keith Henderson, Tina Eliassi-Rad, Christos Falout...
In the past decade cluster computing platforms have been widely applied to support a variety of scientific and commercial applications, many of which are parallel in nature. Howev...
The volume of online data content has shown an un precedented growth in recent years. Fueling this growth are new federal regulations which warrant longer data re tention and ...
NagaPramod Mandagere, Jim Diehl, David Hung-Chang ...
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...
As distributed applications such as Grid and enterprise systems scale up and become increasingly complex, their authorization infrastructures—based predominantly on the request-...