Interactive Visual Analysis Tool for Anomaly Provenance Data
SessionResearch Posters Display
DescriptionChimbuko is a framework for detecting real-time performance anomalies incurred by large-scale applications. Understanding the source of anomalous behaviors is difficult due to the high volume of information stored by Chimbuko in a provenance database. This undergraduate research project aims to intuitively display this high volume of information without overwhelming users. We then integrate our analysis and visualization techniques into a publicly available framework called Dashing. This project facilitates interactive user investigation of anomaly provenance in large-scale applications.

Event Type
Posters
Research Posters
TimeWednesday, 16 November 20228:30am - 5pm CST
LocationC1-2-3
TP
XO/EX
Poster
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