Visualizing large-scale telecommunication networks and services (case study)
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Recursive Pattern: A Technique for Visualizing Very Large Amounts of Data
VIS '95 Proceedings of the 6th conference on Visualization '95
Dynamic query tools for time series data sets: timebox widgets for interactive exploration
Information Visualization
VizTree: a tool for visually mining and monitoring massive time series databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
LiveRAC: interactive visual exploration of system management time-series data
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Intelligent Visual Analytics Queries
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Visual analysis of dynamic data streams
Information Visualization
Real-time visualization of network behaviors for situational awareness
Proceedings of the Seventh International Symposium on Visualization for Cyber Security
Visualization of Time-Oriented Data
Visualization of Time-Oriented Data
| Hi-index | 0.00 |
Real-time analysis of data streams has become an important factor for success in many domains such as server and system administration, news analysis and finance to name just a few. Introducing real-time visual analytics into such application areas promises a lot of benefits since the rate of new incoming information often exceeds human perceptual limits when displayed linearly in raw formats such as textual lines and automatic aggregation often hides important details. This paper presents a system to tackle some of the visualization challenges when analyzing such dynamic event data streams. In particular, we introduce the Event Visualizer, which is a loosely coupled modular system for collecting, processing, analyzing and visualizing dynamic real-time event data streams. Due to the variety of different analysis tasks the system provides an extensible framework with several interactive linked visualizations to focus on different aspects of the event data stream. Data streams with logging data from a computer network are used as a case study to demonstrate the advantages of visual exploration.