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...
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data. However, the emergence of cloud-based computing, ...
Panda is middleware designed to bring the benefits of active networks to applications not written with active networks in mind. This paper describes the architecture and implement...
Vincent Ferreria, Alexey Rudenko, Kevin Eustice, R...