Report on the Dagstuhl Seminar on Visualization and Monitoring of Network Traffic

Journal Article · Wed Jan 26 04:00:00 EST 2011 · Journal of Network and Systems Management, 18(2):232-236

DOI:https://doi.org/10.1007/s10922-010-9161-1· OSTI ID:1007354

Keim, Daniel; Pras, Aiko; Schonwalder, Jurgen; Wong, Pak C; Mansmann, Florian

The Dagstuhl Seminar on Visualization and Monitoring of Network Traffic [1] took place May 17-20, 2009 in Dagstuhl, Germany. Dagstuhl seminars promote personal interaction and open discussion of results as well as new ideas. Unlike at most conferences, the focus is not solely on the presentation of established results but to equal parts on results, ideas, sketches, and open problems. The aim of this particular seminar was to bring together experts from the information visualization community and the networking community in order to discuss the state of the art of monitoring and visualization of network traffic. People from the different research communities involved jointly organized the seminar. The co-chairs of the seminar from the networking community were Aiko Pras (University of Twente) and Jürgen Schönwälder (Jacobs University Bremen). The co-chairs from the visualization community were Daniel A. Keim (University of Konstanz) and Pak Chung Wong (Pacific Northwest National Lab). Florian Mansmann (University of Konstanz) helped with producing this report. The seminar was organized and supported by Schloss Dagstuhl and the EC IST-EMANICS Network of Excellence [1].

• Research Organization: Pacific Northwest National Laboratory (PNNL), Richland, WA (US)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1007354
• Report Number(s): PNNL-SA-69844; 400904120
• Journal Information: Journal of Network and Systems Management, 18(2):232-236, Journal Name: Journal of Network and Systems Management, 18(2):232-236 Journal Issue: 2 Vol. 18
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
COMMUNITIES
COMPUTER NETWORKS
MONITORING
network traffic
network visualization