Publications by Asli%20%C3%96zal

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2011

Proceedings of the 2011 ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2011, Chicago, IL, USA, November 2011
@inproceedings{abc,
	author = {Asli {\"O}zal and Anand Ranganathan and Nesime Tatbul},
	booktitle = {Proceedings of the 2011 ACM SIGSPATIAL International Workshop on GeoStreaming, IWGS 2011},
	title = {Real-time route planning with stream processing systems: a case study for the city of Lucerne.},
	url = {http://doi.acm.org/10.1145/2064959.2064965},
	venue = {Chicago, IL, USA},
	year = {2011}
}
Systems Group Master's Thesis, no. 12 ; Department of Computer Science, June 2011
Supervised by: Prof. Nesime Tatbul
@mastersthesis{abc,
	author = {Asli {\"O}zal},
	school = {12 },
	title = {Real-Time Route Planning with Stream Processing Systems: A Case Study for the City of Luzern},
	year = {2011}
}

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}
}