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....
Data Stream Management Systems (DSMSs) must support optimized execution scheduling of multiple continuous queries on massive, and frequently bursty, data streams. Previous approac...
This short paper provides an overview of the DejaVu complex event processing (CEP) system, with an emphasis on its novel architecture and query optimization techniques for correla...
We address the problem of executing continuous multiway join queries in unpredictable and volatile environments. Our query class captures windowed join queries in data stream syst...
Shivnath Babu, Kamesh Munagala, Jennifer Widom, Ra...
Adaptive query processing is of utmost importance for the scalability of data stream processing systems due to the long-running queries and fluctuating stream characteristics. An...