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
Publications
- C. Balkesen, N. Dindar, M. Wetter, N. Tatbul. "RIP: Run-based Intra-query Parallelism for Scalable Complex Event Processing", ACM International Conference on Distributed Event-Based Systems (DEBS'13), Arlington, TX, USA, July 2013.
- N. Dindar, P. M. Fischer, M. Soner, N. Tatbul, "Efficiently Correlating Complex Events over Live and Archived Data Streams", ACM International Conference on Distributed Event-Based Systems (DEBS'11), New York, NY, USA, July 2011.
- N. Dindar, P. M. Fischer, N. Tatbul, "DejaVu: A Complex Event Processing System for Pattern Matching over Live and Historical Data Streams", Poster, ACM International Conference on Distributed Event-Based Systems (DEBS'11), New York, NY, USA, July 2011. Best Poster Award.
- N. Dindar, C. Balkesen, K. Kromwijk, N. Tatbul, "Event Processing Support for Cross-Reality Environments", IEEE Pervasive Computing Magazine 8(3),Special Issue on Cross-Reality Environments, July 2009.
- N. Dindar, B. Guc, P. Lau, A. Ozal, M. Soner, N. Tatbul, "DejaVu: Declarative Pattern Matching over Live and Archived Streams of Events", Demonstration, ACM SIGMOD International Conference on Management of Data (SIGMOD'09), Providence, RI, USA, June 2009. [ poster]
News
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Aug 17, 2020
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Aug 17, 2020
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Jul 06, 2020
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Jun 19, 2020
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Jun 15, 2020
