Visualization for Business Network Monitoring


Monitoring alerts, warnings and alarms is a difficult problem. Alarms are not always seen, and when a serious problem occurs the number of alarms is so great that the alarms themselves are of little help and are often ignored. Our project deals with network alarms (e.g. a node is down) and alarms generated by sensors installed in the business applications (inventory too low or too high, excessive number of orders etc.). Our Enterprise Monitoring prototype provides tightly coupled filtered views of the network current status and past history, timelines of alarm overviews and traditional textual details. Filtering attributes are modified interactively to deal with temporary needs or alarm overflows.

Participants:

Catherine Plaisant, Assistant Research Scientist
Wei Zhao, Graduate Student Computer Science
Rina Levy, Graduate Student College of Business

Related Video Report: