Data Stream Management Systems are being developed to process continuous queries over multiple data streams. These continuous queries are typically used for monitoring purposes wh...
Mohamed A. Sharaf, Panos K. Chrysanthis, Alexandro...
We present LiveRAC, a visualization system that supports the analysis of large collections of system management timeseries data consisting of hundreds of parameters across thousan...
Peter McLachlan, Tamara Munzner, Eleftherios Kouts...
Integration of heterogeneous data types is a challenging problem, especially in biology, where the number of databases and data types increase rapidly. Amongst the problems that o...
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....
Continuous queries in a Data Stream Management System (DSMS) rely on time as a basis for windows on streams and for defining a consistent semantics for multiple streams and updata...