In this paper, we investigate a new approach to process queries in data stream applications. We show that reference locality characteristics of data streams could be exploited in ...
Feifei Li, Ching Chang, George Kollios, Azer Besta...
Detecting emerging problems in information and manufacturing systems is the goal of monitoring tools. Good and timely detection of problematic conditions from measured indicators ...
Traditional query processors generate full, accurate query results, either in batch or in pipelined fashion. We argue that this strict model is too rigid for exploratory queries o...
To address increasing traffic congestion and its associated consequences, traffic managers are turning to intelligent transportation management. The latte project is extending dat...
Kristin Tufte, Jin Li, David Maier, Vassilis Papad...
— We present SMART, a self-tuning, bandwidth-aware monitoring system that maximizes result precision of continuous aggregate queries over dynamic data streams. While prior approa...
Navendu Jain, Praveen Yalagandula, Michael Dahlin,...