Publications by Merve Soner
2011
Proceedings of the Fifth ACM International Conference on Distributed Event-Based Systems, DEBS 2011, New York, NY, USA, July 2011
@inproceedings{abc, author = {Nihal Dindar and Peter M. Fischer and Merve Soner and Nesime Tatbul}, booktitle = {Proceedings of the Fifth ACM International Conference on Distributed Event-Based Systems, DEBS 2011, New York, NY, USA}, title = {Efficiently correlating complex events over live and archived data streams.}, url = {http://doi.acm.org/10.1145/2002259.2002293}, year = {2011} }
2010
Systems Group Master's Thesis, no. ETH Zürich; Department of Computer Science, June 2010
Supervised by: Prof. Nesime Tatbul
Supervised by: Prof. Nesime Tatbul
@mastersthesis{abc, author = {Merve Soner}, school = {ETH Z{\"u}rich}, title = {Modeling and Efficiently Processing Hybrid Pattern Matching Queries over Live and Archived Streams}, year = {2010} }
2009
Demo, January 2009
DejaVu is an event processing system that integrates declarative pattern matching over live and archived streams of events on top of a novel system architecture. We propose to demonstrate the key aspects of the DejaVu query language and architecture using two different application scenarios, namely a smart RFID library system and a financial market data analysis application. The demonstration will illustrate how DejaVu can uniformly handle one-time, continuous, and hybrid pattern matching queries over live and archived stream stores, using highly interactive visual monitoring tools including one that is based on the Second Life virtual world.
@inproceedings{abc, abstract = {DejaVu is an event processing system that integrates declarative pattern matching over live and archived streams of events on top of a novel system architecture. We propose to demonstrate the key aspects of the DejaVu query language and architecture using two different application scenarios, namely a smart RFID library system and a financial market data analysis application. The demonstration will illustrate how DejaVu can uniformly handle one-time, continuous, and hybrid pattern matching queries over live and archived stream stores, using highly interactive visual monitoring tools including one that is based on the Second Life virtual world.}, author = {Nihal Dindar and Baris Guc and Patrick Lau and Asli {\"O}zal and Merve Soner and Nesime Tatbul}, booktitle = {Demo}, title = {DejaVu: Declarative Pattern Matching over Live and Archived Streams of Events}, url = {http://doi.acm.org/10.1145/1559845.1559971}, year = {2009} }