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Workshop on the Analysis of System Logs - Oct 14 - Call for Participation
Sep 01 2009 06:59AM
Greg Bronevetsky (greg bronevetsky com)
Workshop on the Analysis of System Logs (WASL) 2009
Call for Participation
October 14, 2009
Big Sky, MT
System logs contain a wide variety of information about system status
including events from various applications, daemons and drivers, as well
information such as resource utilization statistics. As such, these logs
rich source of information for the analysis and diagnosis of system
prediction of future system events. However, their lack of organization
and the general
lack of semantic consistency between information from various software
vendors means that most of this information content is wasted. Indeed,
most popular log analysis technique is to use regular expressions to
events of interest or to filter the log so that a human operator can
examine it manually.
Clearly, this captures only a fraction of the information available in
these logs and
does not scale to the large systems common in business and
This workshop will focus on novel techniques for extracting
information from existing logs and methods to improve the information
content of future
Session 1: Log Analysis Tools
- "Extracting Message Types from BlueGene/L's Logs", A. Makanju, A.
Zincir-Heywood, and E. Milios
- "Incremental Learning of System Log Formats", K. Zhu, K. Fisher,
and D. Walker
- "Visual and Algorithmic Tooling for System Trace Analysis: A Case
Study", W. De Pauw and S. Heisig
Session 2: Analyzing System Logs
- "Mining Dependency in Distributed Systems through Unstructured
Logs Analysis", J. Lou, Q. Fu, Y. Wang, and J. Li
- "A Bayesian Network Approach to Modeling IT Service Availability
using System Logs", R. Zhang, E. Cope, L. Huesler, and F. Cheng
- "Endpoint Identification Using System Logs", S. Melvin
Session 3: Group Discussion on Current State of the Art
- Tips and tricks in current use.
- Gaps and challenges in current techniques.
- Vision and steps for the future.
Session 4: Panel on Future Research Agenda
- What are the most difficult problems with logging, in the real world?
- How to make academia-industry interactions more productive?
- How to extract meaningful information from logs?
- How to improve system management?
Greg Bronevetsky (Lawrence Livermore National Laboratory)
greg (at) bronevetsky (dot) com [email concealed]
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
Kara Nance, University of Alaska, Fairbanks
Raffael Marty, PixlCloud
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