Kiviat graphs: conventions and "figures of merit"
ACM SIGMETRICS Performance Evaluation Review
Rivet: a flexible environment for computer systems visualization
ACM SIGGRAPH Computer Graphics
A Visual Approach for Monitoring Logs
LISA '98 Proceedings of the 12th USENIX conference on System administration
Holistic Quota Management: The Natural Path to a Better, More Efficient Quota System
LISA '02 Proceedings of the 16th USENIX conference on System administration
an eye on network intruder-administrator shootouts
ID'99 Proceedings of the 1st conference on Workshop on Intrusion Detection and Network Monitoring - Volume 1
A Case-Based Approach to Anomaly Intrusion Detection
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
| Hi-index | 0.01 |
Xscal is a tool for visualizing the behavior of large numbers of comparable entities such as computers, routers, processes, users, etc. The input to Xscal is a table of numbers and strings, which can represent a system snapshot at an instant of time or an event trace of system activity over time. Xscal depicts the global distribution of values in one or two columns of that data. The user can then annotate the visualization to denote categories of behavior, after which Xscal can depict detailed information on entities in each category. Originally developed to study massively parallel computation, Xscal is applicable to a wide variety of system analysis tasks, from visualizing the process table or accounting statistics for a large server to studying the performance of a large network.