Workshop Program
[9:00am-10:30am] Keynote Talk
- Scaling Issues in Network Monitoring. Theodore Johnson, AT&T Labs. Details
[11:00am-12:30pm] Session A: Adaptation, Load Balancing, and Load Shedding
Replay-Based Approaches to Revision Processing in Stream Query Engines. Anurag S. Maskey (Brandeis University), Mitch Cherniack (Brandeis University).
Potential-Driven Load Distribution for Distributed Data Stream Processing. Weihan Wang (University of Toronto), Shimin Guo (Google, Inc.), M. Tamer Özsu (University of Waterloo), Mohamed A. Sharaf (University of Toronto).
An Approach to QoS Aware Resource Scheduling in Data Stream Systems. Sumit Ganguly (Indian Institute of Technology, Kanpur), Pushpraj Shukla (University of Texas at Austin).
[14:00pm-15:30pm] Session B: Query Optimization
Prefilter: Predicate Pushdown at Streaming Speeds. Lukasz Golab (AT&T Labs - Research), Theodore Johnson (AT&T Labs - Research), Oliver Spatscheck (AT&T Labs - Research).
Automation In or Out: Run-time Plan Optimization for XML Stream Processing. Hong Su (Oracle Corporation), Elke A. Rundensteiner (Worcester Polytechnic Institute), Murali Mani (Worcester Polytechnic Institute).
Optimizing Away Joins on Data Streams. Lukasz Golab (AT&T Labs – Research), Theodore Johnson (AT&T Labs – Research), Nick Koudas (University of Toronto), Divesh Srivastava (AT&T Labs – Research), David Toman (University of Waterloo).
[16:00pm-17:30pm] Session C: Scheduling, Indexing, and Systems
Minimizing Latency and Memory in DSMS: a Unified Approach to Quasi-Optimal Scheduling. Yijian Bai (UCLA), Carlo Zaniolo (UCLA).
Index Tuning for Parameterized Streaming Groupby Queries. Luping Ding (Worcester Polytechnic Institute), Elke A. Rundensteiner (Worcester Polytechnic Institute).
Designing an Inductive Data Stream Management System: the Stream Mill Experience. Hetal Thakkar (UCLA), Barzan Mozafari (UCLA), Carlo Zaniolo (UCLA).