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This seminar course will discuss research topics in the area of information systems. The topic of this semester is "Event Stream Processing".
Event Stream Processing (ESP) systems deal with low-latency computations (e.g., filtering, correlation, aggregation, transformation) on streams of data tuples that represent real-world events. These computations typically produce other events (a.k.a. "complex" or "composite" events) that can be further processed, which eventually trigger real-time actions or alerts.
ESP systems have recently gained significant attention from both academia and industry. Several university research prototypes have been built, some of which have already been commercialized. In the meantime, all of the big database vendors are looking for ways to extend their products to provide high-performance event processing capabilities.
In this seminar, we will investigate important research issues that arise in event stream processing systems. We will examine proposed contributions both on data modeling and query language design as well as on their efficient implementation and optimization in order to provide scalable event processing. We will read recent research papers, and present/discuss them in the class.
Here is the list of seminar topics and papers.
How to do well in systems graduate seminars, by Prof. Timothy Roscoe (thanks Mothy!)
Tips for Writing Technical Papers, by Prof. Jennifer Widom
Tips for a Good Conference Talk, by Prof. Jennifer Widom
Presentation tips for Computer Science Grad Students, by Matthew J. Miller
Writing Tips for Computer Science Grad Students, by Matthew J. Miller
| Presentation | 35% |
| Technical Report | 35% |
| Participation in class discussions | 30% |
Donald Kossmann, Moira Norrie, and Nesime Tatbul
For all administrative issues, please contact Nesime Tatbul.
Time: Tue 15-17 (We start at 15:15.)
Room: IFW C42
English
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