Visually Guided Flow Tracking in Software-defined Networking

Tobias Post; Thomas Wischgoll; Adam R. Bryant; Bernd Hamann; Paul Muller; Hans Hagen

doi:10.1109/VIZSEC.2016.7739586

Visually Guided Flow Tracking in Software-defined Networking

Tobias Post, Thomas Wischgoll, Adam R. Bryant, Bernd Hamann, Paul Muller, Hans Hagen

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Software-defined networking (SDN) is a novel configuration technique that has the potential to become the future backbone of computer networking. In contrast to conventional networking techniques, SDN utilizes controller elements to configure groups of networking nodes, resulting in a hierarchy. SDNs have to be simulated and analyzed to identify applicable configuration settings for real world applications. To determine the quality of a SDN configuration, its packet flow is an important indicator for the analysis. This work presents an interactive system for the analysis of SDN data. An intuitive overview of the SDN hierarchy and the underlying packet flow is provided. The ability to track packets through the SDN and to interlink multiple views of the SDN forms an interactive analysis tool that is successfully applied to a simulated SDN dataset.

Original language	English
Title of host publication	2016 IEEE Symposium on Visualization for Cyber Security (VizSec)
Editors	Diane Staheli, Lane Harrison, Nicolas Prigent, Daniel M. Best, Sophie Engle
Publisher	IEEE
ISBN (Electronic)	978-1-5090-1605-1
ISBN (Print)	978-1-5090-1606-8
DOIs	https://doi.org/10.1109/VIZSEC.2016.7739586
State	Published - 2016
Event	2016 IEEE Symposium on Visualization for Cyber Security, VizSec 2016 - Baltimore, United States Duration: Oct 24 2016 → …

Conference

Conference	2016 IEEE Symposium on Visualization for Cyber Security, VizSec 2016
Country/Territory	United States
City	Baltimore
Period	10/24/16 → …

ASJC Scopus Subject Areas

Computer Networks and Communications
Media Technology
Modeling and Simulation

Keywords

Flow Visualization
Linked Views
Software-defined Networking
Visualization
Splines (mathematics)
Data visualization
Joining processes
Clutter
Blindness
IP networks

Disciplines

Computer Sciences
Engineering

Access to Document

10.1109/VIZSEC.2016.7739586License: Unspecified

Cite this

Visually Guided Flow Tracking in Software-defined Networking. / Post, Tobias; Wischgoll, Thomas; Bryant, Adam R. et al.
2016 IEEE Symposium on Visualization for Cyber Security (VizSec). ed. / Diane Staheli; Lane Harrison; Nicolas Prigent; Daniel M. Best; Sophie Engle. IEEE, 2016. 7739586.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Post, T, Wischgoll, T, Bryant, AR, Hamann, B, Muller, P & Hagen, H 2016, Visually Guided Flow Tracking in Software-defined Networking. in D Staheli, L Harrison, N Prigent, DM Best & S Engle (eds), 2016 IEEE Symposium on Visualization for Cyber Security (VizSec)., 7739586, IEEE, 2016 IEEE Symposium on Visualization for Cyber Security, VizSec 2016, Baltimore, United States, 10/24/16. https://doi.org/10.1109/VIZSEC.2016.7739586

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title = "Visually Guided Flow Tracking in Software-defined Networking",

abstract = " Software-defined networking (SDN) is a novel configuration technique that has the potential to become the future backbone of computer networking. In contrast to conventional networking techniques, SDN utilizes controller elements to configure groups of networking nodes, resulting in a hierarchy. SDNs have to be simulated and analyzed to identify applicable configuration settings for real world applications. To determine the quality of a SDN configuration, its packet flow is an important indicator for the analysis. This work presents an interactive system for the analysis of SDN data. An intuitive overview of the SDN hierarchy and the underlying packet flow is provided. The ability to track packets through the SDN and to interlink multiple views of the SDN forms an interactive analysis tool that is successfully applied to a simulated SDN dataset.",

keywords = "Flow Visualization, Linked Views, Software-defined Networking, Visualization, Splines (mathematics), Data visualization, Joining processes, Clutter, Blindness, IP networks",

author = "Tobias Post and Thomas Wischgoll and Bryant, {Adam R.} and Bernd Hamann and Paul Muller and Hans Hagen",

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AU - Muller, Paul

AU - Hagen, Hans

PY - 2016

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N2 - Software-defined networking (SDN) is a novel configuration technique that has the potential to become the future backbone of computer networking. In contrast to conventional networking techniques, SDN utilizes controller elements to configure groups of networking nodes, resulting in a hierarchy. SDNs have to be simulated and analyzed to identify applicable configuration settings for real world applications. To determine the quality of a SDN configuration, its packet flow is an important indicator for the analysis. This work presents an interactive system for the analysis of SDN data. An intuitive overview of the SDN hierarchy and the underlying packet flow is provided. The ability to track packets through the SDN and to interlink multiple views of the SDN forms an interactive analysis tool that is successfully applied to a simulated SDN dataset.

AB - Software-defined networking (SDN) is a novel configuration technique that has the potential to become the future backbone of computer networking. In contrast to conventional networking techniques, SDN utilizes controller elements to configure groups of networking nodes, resulting in a hierarchy. SDNs have to be simulated and analyzed to identify applicable configuration settings for real world applications. To determine the quality of a SDN configuration, its packet flow is an important indicator for the analysis. This work presents an interactive system for the analysis of SDN data. An intuitive overview of the SDN hierarchy and the underlying packet flow is provided. The ability to track packets through the SDN and to interlink multiple views of the SDN forms an interactive analysis tool that is successfully applied to a simulated SDN dataset.

KW - Flow Visualization

KW - Linked Views

KW - Software-defined Networking

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KW - Splines (mathematics)

KW - Data visualization

KW - Joining processes

KW - Clutter

KW - Blindness

KW - IP networks

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Visually Guided Flow Tracking in Software-defined Networking

Abstract

Conference

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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Cite this