DejaVu - Past Project

Project Description

The DejaVu project explores scalable complex event processing techniques for streams of events. The goal is to provide a system that can seamlessly integrate pattern detection over live and historical streams of events behind a common, declarative interface. We are investigating various optimization ideas for efficient data access and query execution.

Project Members

  • Nihal Dindar, Nesime Tatbul, Baris Guc, Patrick Lau, Asli Ozal, Merve Soner