In this demo, we present Nile-PDT, a Phenomenon Detection and Tracking framework using the Nile data stream management system. A phenomenon is characterized by a group of streams ...
Mohamed H. Ali, Walid G. Aref, Raja Bose, Ahmed K....
Advances in data acquisition and sensor technologies are leading towards the development of “High Fan-in” architectures: widely distributed systems whose edges consist of nume...
Owen Cooper, Anil Edakkunni, Michael J. Franklin, ...
Query processing on uncertain data streams has attracted a lot of attentions lately, due to the imprecise nature in the data generated from a variety of streaming applications, su...
Cheqing Jin, Ke Yi, Lei Chen 0002, Jeffrey Xu Yu, ...
Mobile and pervasive applications frequently rely on devices such as RFID antennas or sensors (light, temperature, motion) to provide them information about the physical world. Th...
Nodira Khoussainova, Magdalena Balazinska, Dan Suc...
In recent years, we have seen a dramatic increase in the use of data-centric distributed systems such as global grid infrastructures, sensor networks, network monitoring, and vari...