Visualization System Requirements for Data Processing Pipeline Design and Optimization

Tatiana von Landesberger, Dieter W. Fellner

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The rising quantity and complexity of data creates a need to design and optimize data processing pipelines - the set of data processing steps, parameters and algorithms that perform operations on the data. Visualization can support this process but, although there are many examples of systems for visual parameter analysis, there remains a need to systematically assess users' requirements and match those requirements to exemplar visualization methods. This article presents a new characterization of the requirements for pipeline design and optimization. This characterization is based on both a review of the literature and first-hand assessment of eight application case studies. We also match these requirements with exemplar functionality provided by existing visualization tools. Thus, we provide end-users and visualization developers with a way of identifying functionality that addresses data processing problems in an application. We also identify seven future challenges forvisualization research that are not met by the capabilities of today's systems.
Original languageEnglish
Number of pages14
JournalIEEE Transactions on Visualization and Computer Graphics
DOIs
Publication statusPublished - 2016

Fields of Expertise

  • Information, Communication & Computing

Cite this

Visualization System Requirements for Data Processing Pipeline Design and Optimization. / von Landesberger, Tatiana; Fellner, Dieter W.

In: IEEE Transactions on Visualization and Computer Graphics, 2016.

Research output: Contribution to journalArticleResearchpeer-review

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