Workshop Program

[9:00am-10:30am] Keynote Talk

• Distributed Data Stream Management for e-Science Applications. Prof. Alfons Kemper (Dean of the Faculty of Informatics, Technische Universität München). details

[11:00am-12:30pm] Session A: Distributed Stream Processing

1. Adapting Partitioned Continuous Query Processing in Distributed Systems. Yali Zhu (Worcester Polytechnic Institute), Elke Rundensteiner (Worcester Polytechnic Institute).
2. Fast and Reliable Stream Processing over Wide Area Networks. Jeong-Hyon Hwang (Brown University), Ugur Cetintemel (Brown University), Stan Zdonik (Brown University).
3. Optimizing State-Intensive Non-Blocking Queries Using Run-time Adaptation. Bin Liu (Worcester Polytechnic Institute), Mariana Jbantova (Worcester Polytechnic Institute), Elke Rundensteiner (Worcester Polytechnic Institute).

[14:00pm-15:30pm] Session B: Query Scheduling and Execution

1. Flexible Multi-Threaded Scheduling for Continuous Queries over Data Streams. Michael Cammert, Christoph Heinz, Jürgen Krämer, Bernhard Seeger, Sonny Vaupel, Udo Wolske.
2. A Flexible Query Graph Based Model for the Efficient Execution of Continuous Queries. Yijian Bai (UCLA), Hetal Thakkar (UCLA), Haixun Wang (IBM T.J. Watson), Carlo Zaniolo (UCLA).
3. Dynamic Metadata Management for Scalable Stream Processing Systems. Michael Cammert (University of Marburg), Juergen Kraemer (University of Marburg), Bernhard Seeger (University of Marburg).

[16:00pm-17:30pm] Session C: Sampling and Load Shedding

1. How to scalably and accurately skip past streams. Andre Madeira (Rutgers University), S. Muthukrishnan (Rutgers University), Tao Ye (Sprint ATL), Supratik Bhattacharyya (Sprint ATL).
2. Query-Aware Sampling for Data Streams. Vladislav Shkapenyuk (Carnegie Mellon University), Theodore Johnson (AT&T Labs - Research), S. Muthukrishnan (Rutgers University), Oliver Spatscheck (AT&T Labs - Research).
3. Load Shedding for Window Joins on Multiple Data Streams. Yan-Nei Law (Bioinformatics Institute), Carlo Zaniolo (UCLA).