In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
We show how to uniformly distribute data at random (not to be confounded with permutation routing) in two settings that are able to deal with massive data: coarse grained parallel...
Large-scale information processing environments must rapidly search through massive streams of raw data to locate useful information. These data streams contain textual and numeri...
Ian Gorton, Justin Almquist, Nick Cramer, Jereme H...
The interest among a geographically distributed user base to mine massive collections of scientific data propels the need for efficient data dissemination solutions. An optimal dat...
Content services such as content filtering and transcoding adapt contents to meet system requirements, display capacities, or user preferences. Data security in such a framework is...