Abstract
The analysis of network traces often requires to find the spots where something interesting happens. Since traces are usually very large data-sets, it is often not easy and time intensive to get an intuitive understanding of what happens within a given trace. Through the use of suitable data visualization techniques, it is possible for humans to identify noteworthy spots or characteristics of a trace much faster. Particularly interesting properties of a certain class of network traces are node interaction dynamics, that is how the traffic matrix between nodes evolves over time and the pattern of messages exchanged between nodes. This paper presents some tools visualizing node interaction dynamics that were developed to assist network trace analysts.
Chapter PDF
Similar content being viewed by others
References
Schönwälder, J.: SNMP Traffic Measurements and Trace Exchange Formats. RFC 5345, Jacobs University Bremen (October 2008)
van den Broek, J., Schönwälder, J., Pras, A., Harvan, M.: SNMP trace analysis definitions. In: Hausheer, D., Schönwälder, J. (eds.) AIMS 2008. LNCS, vol. 5127, pp. 134–147. Springer, Heidelberg (2008)
Schönwälder, J., Pras, A., Harvan, M., Schippers, J., van de Meent, R.: SNMP Traffic Analysis: Approaches, Tools, and First Results. In: Proc. 10th IFIP/IEEE International Symposium on Integrated Network Management (IM 2007), May 2007, pp. 323–332 (2007)
Case, J., Mundy, R., Partain, D., Stewart, B.: Introduction and Applicability Statements for Internet Standard Management Framework. RFC 3410, SNMP Research, Network Associates Laboratories, Ericsson (December 2002)
Salvador, E., Granville, L.: Using Visualization Techniques for SNMP Traffic Analyses. In: Proc. of the IEEE Symposium on Computers and Communications (ISCC 2008). IEEE, Los Alamitos (2008)
Schulze, M., Benko, G., Farrell, C.: Homebrew network monitoring: A prelude to network management. In: Proc. SANS II (March 1993)
Pleitner, S., Brown, D.: Geotraceman: A Visual Traceroute. In: Proc. Australian Unix User Group (AUUG 1995) (September 1995)
Huffaker, B., Plummer, D., Moore, D., Claffy, K.: Topology discovery by active probing. In: Proc. Symposium on Applications and the Internet (SAINT 2002), pp. 90–96. IEEE, Los Alamitos (2002)
Boitmanis, K., Brandes, U., Pich, C.: Visualizing internet evolution on the autonomous systems level. In: Hong, S.-H., Nishizeki, T., Quan, W. (eds.) GD 2007. LNCS, vol. 4875, pp. 365–376. Springer, Heidelberg (2008)
Munroe, R.: Map of the Internet. xkdc (2006)
Irwin, B., Pilkington, N.: High Level Internet Scale Traffic Visualization Using Hilbert Curve Mapping. In: Proc. of the Workshop on Visualization for Computer Security. Mathematics and Visualization. Springer, Heidelberg (2008)
Samak, T., Ghanem, S., Ismail, M.A.: On the Efficiency of using Space-Filling Curves in Network Traffic Representation. In: Proc. 11th IEEE Global Internet Symposium. IEEE, Los Alamitos (2008)
Lau, S.: The Spinning Cube of Potential Doom. Communications of the ACM 47(6), 25–26 (2004)
Oberheide, J., Goff, M., Karir, M.: Flamingo: Visualizing Internet Traffic. In: Proc. 10th IEEE/IFIP Network Operations and Management Symposium (NOMS 2006), pp. 150–161. IEEE, Los Alamitos (2006)
Keim, D.A., Mansmann, F., Schneidewind, J., Schreck, T.: Monitoring Network Traffic with Radial Traffic Analyzer. In: Proc. IEEE Symposium on Visual Analytics Science and Technology (VAST). IEEE Computer Society, Los Alamitos (2006)
Mansmann, F., Vinnik, S.: Interactive Exploration of Data Traffic with Hierarchical Network Maps. IEEE Transactions on Visualization and Computer Graphics 12(6) (November 2006)
Mansmann, F., Fischer, F., Keim, D.A., North, S.C.: Visualizing large-scale IP traffic flows. In: Proc. 12th International Workshop Vision, Modeling, and Visualization (November 2007)
Phan, D., Gerth, J., Lee, M., Paepcke, A., Winograd, T.: Visual Analysis of Network Flow Data with Timelines and Event Plots. In: Proc. Workshop on Visualization for Computer Security (VizSec 2007). Mathematics and Visualization, pp. 85–99. Springer, Heidelberg (2007)
van Rossum, G., Drake, F.: The Python Language Reference Manual. Network Theory Limited (2003)
Ousterhout, J.K.: Tcl and the Tk Toolkit. Addison-Wesley, Reading (1994)
O’Madadhain, J., Fisher, D., Smyth, P., White, S., Boey, Y.B.: Analysis and Visualization of Network Data using JUNG. Journal paper under preparation
Campione, M., Walrath, K.: The Java Tutorial: Object-Oriented Programming for the Internet, 2nd edn. Addison Wesley, Reading (1998)
Cisco Systems: NetFlow Services Solution Guide (January 2007)
Segal, M., Akeley, K.: The OpenGL Graphics System: A Specification. Version 3.1, The Khronos Group Inc. (March 2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 IFIP International Federation for Information Processing
About this paper
Cite this paper
Dobrev, P., Stancu-Mara, S., Schönwälder, J. (2009). Visualization of Node Interaction Dynamics in Network Traces. In: Sadre, R., Pras, A. (eds) Scalability of Networks and Services. AIMS 2009. Lecture Notes in Computer Science, vol 5637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02627-0_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-02627-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02626-3
Online ISBN: 978-3-642-02627-0
eBook Packages: Computer ScienceComputer Science (R0)