Graphical analysis of computer log files
Communications of the ACM
Visualizing the Execution of Java Programs
Revised Lectures on Software Visualization, International Seminar
The information mural: a technique for displaying and navigating large information spaces
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
Strata-various: multi-layer visualization of dynamics in software system behavior
VIS '94 Proceedings of the conference on Visualization '94
A Visual Approach for Monitoring Logs
LISA '98 Proceedings of the 12th USENIX conference on System administration
Tool Demonstration: JIVE and JOVE: Java as it Happens
IWPC '05 Proceedings of the 13th International Workshop on Program Comprehension
Towards informatic analysis of syslogs
CLUSTER '04 Proceedings of the 2004 IEEE International Conference on Cluster Computing
The Tau Parallel Performance System
International Journal of High Performance Computing Applications
TuningFork: a platform for visualization and analysis of complex real-time systems
Companion to the 22nd ACM SIGPLAN conference on Object-oriented programming systems and applications companion
Mining console logs for large-scale system problem detection
SysML'08 Proceedings of the Third conference on Tackling computer systems problems with machine learning techniques
Understanding complex multithreaded software systems by using trace visualization
Proceedings of the 5th international symposium on Software visualization
Zinsight: a visual and analytic environment for exploring large event traces
Proceedings of the 5th international symposium on Software visualization
DBSec'13 Proceedings of the 27th international conference on Data and Applications Security and Privacy XXVII
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Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine traces, because trace information on unstable systems may be incomplete, or incorrect. In addition, false positives from automated analysis will not likely disappear, and remediation measures and candidate fix tests will need to be evaluated. We present Zinsight, a visual and analytic tool that supports performance analysts and debugging, using large event traces to understand complex systems. This tool enables analysts to quickly create and manipulate high-level structural representations linked with statistical analysis derived from the underlying event trace data. The original raw trace is annotated with module names and a domain specific database is incorporated to relate software functions to module names. Navigable sequence context graph views present automatically extracted execution flow patterns from arbitrarily definable sets of events and are linked to frequency, distribution, and response time views. The goal is to reduce the cognitive and computational load on the analyst while providing answers to the most natural questions in a problem determination session. We present a case study of the tool in use on field problems from the recently shipped (late 2008) IBM z10 mainframe. As a result of the industry trend toward higher parallelism and memory latency, many issues were encountered with legacy code. The tool was applied successfully to diagnose these problems.