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Related Experiment Videos

Visualization of roaming client/server connection patterns during a wirelessly enabled disaster response drill.

Alan Calvitti1, Leslie A Lenert, Steven W Brown

  • 1School of Medicine, University of Cailfornia San Diego, La Jolla, CA, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 24, 2007
PubMed
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Visualizing client-server system performance is challenging. New tools display User Datagram Protocol (UDP) and Transmission Control Protocol (TCP) events on a timeline, revealing performance patterns and correlations for better assessment.

Area of Science:

  • Computer Science
  • Network Performance Analysis
  • Data Visualization

Background:

  • Assessing the performance of multi-client server systems presents significant challenges.
  • Effective visualization tools are crucial for understanding complex system behaviors.

Purpose of the Study:

  • To introduce novel visualization tools for evaluating multi-client server system functionality.
  • To enhance the identification of performance patterns and correlations within network traffic.

Main Methods:

  • Client connection events are mapped onto a timeline.
  • User Datagram Protocol (UDP) events are represented as distinct points.
  • Transmission Control Protocol (TCP) events are visualized as time intervals.
  • Comparison of dual visualization schemes on a single timeline is employed for deeper analysis.

Related Experiment Videos

Main Results:

  • The proposed visualization tools effectively reveal informative patterns in client connection events.
  • Distinct representations for UDP (point-like) and TCP (interval) events facilitate differentiated analysis.
  • Comparing two visualization schemes on the same timeline provides additional, valuable insights into system behavior.

Conclusions:

  • The developed visualization tools offer a practical approach to assessing multi-client server system performance.
  • Timeline-based visualization of UDP and TCP events aids in identifying performance bottlenecks and correlations.
  • Comparative visualization schemes enhance the depth of analysis for network performance evaluation.