TY - JOUR
AU - Nagappan, Meiyappan
AB -  Analysis of Execution Log Files Meiyappan Nagappan North Carolina State University 890, Oval Drive, Raleigh NC 27695-8206, USA (001)919-513-5082 mnagapp@ncsu.edu ABSTRACT Log analysis can be used to find problems, define operational profiles, and even pro-actively prevent issues. The goal of my dissertation research is to investigate log management and analysis techniques suited for very large and very complex logs, such as those we might expect in a computational cloud system. 30,000+ students. Log files from these systems are large, complex, and dynamic. The system produces hundreds of MBs of log data with millions of events in them. Full manual analysis of these logs is not a realistic option, yet they need to be used daily by the VCL developers and managers to resolve problems. Unfortunately, existing log analyses tools leave a lot to be desired. They have issues with varying formats, varying granularity of the collected information, the noise inherently present in logs files etc. Scalability of the analysis tools and techniques is of utmost importance. When analysis rate is slower than the rate at which information is collected in log files its, usefulness is reduced. I believe that current log analysis methods are too ad hoc and 
TI - Analysis of execution log files
DO - 10.1145/1810295.1810405
DA - 2010-05-01
UR - https://www.deepdyve.com/lp/association-for-computing-machinery/analysis-of-execution-log-files-SZqVjSGLwv
DP - DeepDyve
ER -