Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data at multiple sites around the world. The technologies, the middleware se...
Brian Tierney, Jason Lee, Brian Crowley, Mason Hol...
A key challenge faced by large-scale, distributed applications in Grid environments is efficient, seamless data management. In particular, for applications that can benefit from a...
Jithendar Paladugula, Ming Zhao 0002, Renato J. O....
In data-intensive computing, an important problem that has received relatively little attention is of transparent processing of data stored in remote data repositories. Interesting...
Requirements from new types of applications call for new database system solutions. Computational science applications performing distributed computations on Grid networks with req...