Visualization System Requirements for Data Processing Pipeline Design and Optimization

Tatiana von Landesberger, Dieter W. Fellner, Roy A. Ruddle

Research output: Contribution to journalArticlepeer-review


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 for visualization research that are not met by the capabilities of today's systems
Original languageEnglish
Pages (from-to)2028-2041
Number of pages14
JournalIEEE Transactions on Visualization and Computer Graphics
Issue number8
Publication statusPublished - 2016

Fields of Expertise

  • Information, Communication & Computing


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