At iGrid 2005 we demonstrated the transparent operation of a biology experiment on a test-bed of globally distributed visualization, storage, computational, and network resources....
Rajvikram Singh, Nicholas Schwarz, Nut Taesombut, ...
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowye...
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s Blue Gene/L which can acc...
The Hadoop filesystem is a large scale distributed filesystem used to manage and quickly process extremely large data sets. We want to utilize Hadoop to assist with dataintensive ...
Large-scale distributed systems, such as ubiquitous computing environments, require a service delivery mechanism in order to keep track of the vast set of services offered and mak...
Maria Riaz, Saad Liaquat Kiani, Sungyoung Lee, San...