Computer Science Colloquium
University of Waterloo, Canada
DataMill: Rigorous Empirical Performance Evaluation Made EasyWed 17.12.2014, 14:00, 60 minutes
S3 218 (Science Park 3)
AbstractEmpirical systems research is facing a dilemma. Minor aspects of an experimental setup can have a significant impact on its associated performance measurements and potentially invalidate conclusions drawn from them. The growth in complexity and size of modern systems will further aggravate this dilemma, especially with the given time pressure of producing results. So how can one trust any reported empirical analysis of a new idea or concept in computer science?
This talk introduces DataMill, a community-based easy-to-use services-oriented open benchmarking infrastructure for performance evaluation of single computer experiments. DataMill facilitates producing robust, reliable, and reproducible results.
BioSebastian Fischmeister is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, Canada. He received his MASc in Computer Science at the Vienna University of Technology, Austria, and his Ph.D. degree at the University of Salzburg, Austria. He was awarded the APART stipend in 2005 and worked as a research associate at the University of Pennsylvania, USA, until 2008.
He performs systems research at the intersection of software technology, distributed systems, and formal methods. His preferred application areas are distributed real-time embedded systems in the domain of automotive systems, avionics, and medical devices.
Invited by a. Univ.-Prof. Mag. Dr. Paul Grünbacher
The Computer Science Colloquium is organized by the Department of Coputer Science at JKU, the Österreichische Gesellschaft für Informatik (ÖGI) and the Österreichische Computergesellschaft (OCG).