263-4845-00L  Distributed Stream Processing: Systems and Algorithms

SemesterFrühjahrssemester 2018
Dozierende
Periodizitätjährlich wiederkehrende Veranstaltung
LehrveranstaltungFindet dieses Semester nicht statt.
LehrspracheEnglisch


KurzbeschreibungIn this seminar, we will study the design and architecture of modern distributed streaming systems as well as fundamental algorithms for analyzing data streams. We will also consider current research topics and open issues in the area of distributed stream processing.
LernzielThe seminar will focus on high-impact research contributions addressing open issues in the design and implementation of modern distributed stream processors. In particular, the students will read, review, present, and discuss a series of research and industrial papers.
InhaltModern distributed stream processing technology enables continuous, fast, and reliable analysis of large-scale unbounded datasets. Stream processing has recently become highly popular across industry and academia due to its capabilities to both improve established data processing tasks and to facilitate novel applications with real-time requirements.

The students will read, review, present, and discuss a series of research and industrial papers covering the following topics:

- Fault-tolerance and processing guarantees
- State management
- Windowing semantics and optimizations
- Basic data stream mining algorithms (e.g. sampling, counting, filtering)
- Query languages and libraries for stream processing (e.g. Complex Event Processing, online machine learning)