Automated analysis of unstructured text documents (e.g., web pages, newswire articles, research publications, business reports) is a key capability for solving important problems ...
Daniel M. Dunlavy, Timothy M. Shead, Eric T. Stant...
Generating realistic and responsive traffic that reflects different network conditions is a challenging problem associated with performing valid experiments in network testbeds. I...
Monia Ghobadi, Martin Labrecque, Geoffrey Salmon, ...
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...
In modern wireless devices, two broad classes of compute-intensive applications are common: those with high amounts of data-level parallelism, such as signal processing used in wi...
Ganesh S. Dasika, Mark Woh, Sangwon Seo, Nathan Cl...
Abstract--Cloud computing services allow users to lease computing resources from large scale data centers operated by service providers. Using cloud services, users can deploy a wi...