Workshop on the Analysis of System Logs (WASL) 2009

WASL focuses on novel techniques for extracting operationally useful information from existing systen logs and methods to improve the information content of future logs. Topics include but are not limited to:

• Reports on publicly available sources of sample log data.
• Log anonymization
• Log feature detection and extraction
• Prediction of malfunction or misuse based on log data
• Statistical techniques to characterize log data
• Applications of Natural-Language Processing (NLP) to logs
• Scalable log compression
• Log comparison techniques
• Methods to enhance and standardize log semantics
• System diagnostic techniques
• Log visualization
• Analysis of services (problem ticket) logs
• Applications of log analysis to system administration

Sponsored by:

Workshop Char
Greg Bronevetsky, Lawrence Livermore National Lab
greg@bronevetsky.com

Program Committee
Jon Stearley, Sandia National Laboratory
Bianca Schroeder, University of Toronto
Sébastien Tricaud, INL
Sapan Bhatia, Princeton University
Risto Vaarandi, CCD CoE
Jim Jansen, Penn State University
Wei Xu, University of California, Berkeley
Anton Chuvakin, Qualys
Hugh Njemanze, ArcSight
Kara Nance, University of Alaska, Fairbanks
Raffael Marty, PixlCloud