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Related Experiment Video

Updated: May 7, 2026

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature

Published on: November 18, 2019

Visualizing request-flow comparison to aid performance diagnosis in distributed systems.

Raja R Sambasivan¹, Ilari Shafer, Michelle L Mazurek

¹Carnegie Mellon University.

IEEE Transactions on Visualization and Computer Graphics

|September 21, 2013

Summary

Diagnosing performance issues in distributed systems is hard. This study found that different visualization techniques (side-by-side, diff, animation) offer unique benefits for developers analyzing automated problem localization results.

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Area of Science:

Computer Science
Software Engineering
Distributed Systems

Background:

Distributed systems present significant challenges in development and administration, especially in diagnosing performance degradation.
Automated tools exist to localize performance issues, but effective visualization of these results is crucial for developer comprehension.

Purpose of the Study:

To compare the effectiveness of three visualization techniques (side-by-side, diff, animation) for presenting automated performance problem localization results.
To understand how different visualization approaches aid distributed systems developers in exploring and understanding performance issues.

Main Methods:

A user study involving 26 participants, including professional distributed systems developers.
Comparison of side-by-side, diff, and animation visualization methods applied to request-flow comparison results.

Main Results:

Each visualization technique demonstrated unique advantages depending on the specific problem type and developer's usage mode.
Developers gained insights into performance bottlenecks through visual exploration of localized issues.

Conclusions:

The choice of visualization technique significantly impacts the ability of developers to understand and act upon automated performance diagnostics.
Tailoring visualization methods to specific distributed system problems and developer needs can enhance diagnostic efficiency.