We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
—We present Sensor Andrew, a multi-disciplinary campus-wide scalable sensor network that is designed to host a wide range of sensor, actuator and low-power applications. The goal...
Anthony Rowe, Mario Berges, Gaurav Bhatia, Ethan G...
Available methodologies for developing Sematic Web applications do not fully exploit the whole potential deriving from interaction with ontological data sources. Here we introduce...
Researchers in transactional memory (TM) have proposed open nesting as a methodology for increasing the concurrency of transactional programs. The idea is to ignore "low-leve...