Publications by Nihal Dindar

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2013

The 7th ACM International Conference on Distributed Event-Based Systems, DEBS '13, Arlington, TX, June 2013
@inproceedings{abc,
	author = {Cagri Balkesen and Nihal Dindar and Matthias Wetter and Nesime Tatbul},
	booktitle = {The 7th ACM International Conference on Distributed Event-Based Systems, DEBS {\textquoteright}13, Arlington, TX},
	title = {RIP: run-based intra-query parallelism for scalable complex event processing.},
	url = {http://doi.acm.org/10.1145/2488222.2488257},
	year = {2013}
}
VLDB J., January 2013
@inproceedings{abc,
	author = {Nihal Dindar and Nesime Tatbul and Ren{\'e}e J. Miller and Laura M. Haas and Irina Botan},
	booktitle = {VLDB J.},
	title = {Modeling the execution semantics of stream processing engines with SECRET.},
	url = {http://dx.doi.org/10.1007/s00778-012-0297-3},
	year = {2013}
}

2012

ETH Zürich, Diss. Nr. 20949, December 2012
Supervised by: Prof. Nesime Tatbul
@phdthesis{abc,
	author = {Nihal Dindar},
	school = {20949},
	title = {Modeling Window Execution Semantics of Stream Processing Engines},
	year = {2012}
}

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}
}
Proceedings of the ACM International Conference on Distributed Event-Based Systems (DEBS'11), New York, NY, USA, January 2011
@inproceedings{abc,
	author = {Nihal Dindar and Peter M. Fischer and Nesime Tatbul},
	booktitle = {Proceedings of the ACM International Conference on Distributed Event-Based Systems (DEBS{\textquoteright}11), New York, NY, USA},
	title = {DejaVu: A Complex Event Processing System for Pattern Matching over Live and Historical Data Streams},
	year = {2011}
}

2010

PVLDB, Proceedings of the 36th International Conference on Very Large Data Bases (VLDB'10), Singapore, September 2010., January 2010
@inproceedings{abc,
	author = {Irina Botan and Roozbeh Derakhshan and Nihal Dindar and Laura M. Haas and Ren{\'e}e J. Miller and Nesime Tatbul},
	booktitle = {PVLDB},
	title = {SECRET: A Model for Analysis of the Execution Semantics of Stream Processing Systems},
	venue = {Proceedings of the 36th International Conference on Very Large Data Bases (VLDB{\textquoteright}10), Singapore, September 2010.},
	year = {2010}
}
Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, Long Beach, California, USA, January 2010
@inproceedings{abc,
	author = {Irina Botan and Younggoo Cho and Roozbeh Derakhshan and Nihal Dindar and Ankush Gupta and Laura M. Haas and Kihong Kim and Chulwon Lee and Girish Mundada and Ming-Chien Shan and Nesime Tatbul and Ying Yan and Beomjin Yun and Jin Zhang},
	booktitle = {Proceedings of the 26th International Conference on Data Engineering, ICDE 2010},
	title = {A demonstration of the MaxStream federated stream processing system.},
	url = {http://dx.doi.org/10.1109/ICDE.2010.5447906},
	venue = {Long Beach, California, USA},
	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}
}
IEEE Pervasive Computing, January 2009
@inproceedings{abc,
	author = {Nihal Dindar and Cagri Balkesen and Katina Kromwijk and Nesime Tatbul},
	booktitle = {IEEE Pervasive Computing},
	title = {Event Processing Support for Cross-Reality Environments.},
	url = {http://doi.ieeecomputersociety.org/10.1109/MPRV.2009.43},
	year = {2009}
}
Enabling Real-Time Business Intelligence - Third International Workshop, BIRTE 2009, Held at the 35th International Conference on Very Large Databases, VLDB 2009, Lyon, France, Revised Selected Papers, January 2009
@inproceedings{abc,
	author = {Irina Botan and Younggoo Cho and Roozbeh Derakhshan and Nihal Dindar and Laura Haas and Kihong Kim and Nesime Tatbul},
	booktitle = {Enabling Real-Time Business Intelligence - Third International Workshop, BIRTE 2009, Held at the 35th International Conference on Very Large Databases, VLDB 2009, Lyon, France},
	title = {Federated Stream Processing Support for Real-Time Business Intelligence Applications},
	url = {http://dx.doi.org/10.1007/978-3-642-14559-9_2},
	venue = {Revised Selected Papers},
	year = {2009}
}

2008

Systems Group Master's Thesis, no. ETH Zürich; Department of Computer Science, September 2008
Supervised by: Prof. Nesime Tatbul
@mastersthesis{abc,
	author = {Nihal Dindar},
	school = {ETH Z{\"u}rich},
	title = {Pattern Matching over Sequences of Rows in a Relational Database System},
	year = {2008}
}