Streams

Established: November 21, 2011

In the streams research project, we propose novel architectures, efficient processing techniques, models, and applications to support time-oriented queries over real-time and offline data streams. Our current focus in the project centers around Trill, a high-performance streaming analytics engine that is now used across Microsoft. Our currect focus areas include efficient query processing, scale-out, resiliency, streaming state management, and unstructured data support.

People

Publications

2017

2016

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2011

2010

2009

Microsoft CEP Server and Online Behavioral Targeting
Mohamed Ali, Ciprian Gerea, Balan S. Raman, Beysim Sezgin, Tiho Tarnavski, Tomer Verona, Ping Wang, Peter Zabback, Asvin Ananthanarayan, Anton Kirilov, Ming Lu, Alex Raizman, Ramkumar Krishnan, Roman Schindlauer, Torsten Grabs, Sharon Bjeletich, Badrish Chandramouli, Jonathan Goldstein, Sudin Bhat, Ying Li, Vincenzo Di Nicola, Xianfang Wang, David Maier, Stephan Grell, Olivier Nano, Ivo Santos, in International Conference on Very Large Data Bases (VLDB), Lyon, France, August 1, 2009, View abstract, Download PDF

2007